Wednesday, 16 November 2022 10am-3pm
Machine Learning, Software Engineering and Hardware Engineering Roles @ SambaNova Systems
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SambaNova Systems
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Palo Alto, CA; Austin, TX
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SessionJob Postings
DescriptionThanks for visiting us at SC22! If you are interested in exploring opportunities with us, please fill out the application via the "URL for more information" link for further consideration (https://boards.greenhouse.io/sambanovarecruiting/jobs/4097348004).
We are recruiting for full-time and internship opportunities in Machine Learning, Software Engineering and Hardware Engineering across all levels of experience and degrees.
We are recruiting for full-time and internship opportunities in Machine Learning, Software Engineering and Hardware Engineering across all levels of experience and degrees.
RequirementsWe are looking especially for engineers with one or more of the following interests and skill sets:
- Machine Learning & Applications
- Compilers
- System Software
- Toolchains, Frameworks, and APIs
- DevOps / Release Engineering
- Hardware / Software Co-Design
- Computer Architecture & Chip Design
- System Level Hardware
Company DescriptionCustomers turn to SambaNova to quickly deploy state-of-the-art AI capabilities to meet the demands of the AI-enabled world. Our purpose-built enterprise-scale AI platform is the technology backbone for the next generation of AI computing. We enable customers to unlock the valuable business insights trapped in their data. Our flagship offering, Dataflow-as-a-ServiceTM, overcomes the limitations of legacy technology to power the large complex foundation models that enable customers to discover new services and revenue streams, and boost operational efficiency. Headquartered in Palo Alto, California, SambaNova Systems was founded in 2017 by industry luminaries, and hardware and software design experts from Sun/Oracle and Stanford University.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Systems Scientist
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Oak Ridge National Laboratory
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Oak Ridge, TN
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SessionJob Postings
DescriptionOverview:
The Technology Integration Group at Oak Ridge National Laboratory is seeking a highly motivated scientist to assist with the research, design, and deployment for next-generation leadership computing systems. The successful candidate should understand one or more of the following:
Processor architectures (e.g., CPU, GPU, FPGA)
Memory architectures (e.g., DRAM, DDR, HBM, persistent memories)
Interconnects (e.g., electrical, optical, various topologies)
Storage hierarchy (e.g., Flash, NVMe, HDD, tape)
This position is part of the Advanced Technologies Section within the National Center for Computational Sciences (NCCS) Division. The Advanced Technologies Section offers scientific, technical, operational, and thought leadership by developing, hardening, and deploying solutions for compute and data intensive computing environments.
The NCCS provides state-of-the-art computational and data science infrastructure, coupled with dedicated technical and scientific professionals, to accelerate scientific discovery and engineering advances across a broad range of disciplines. NCCS hosts the Oak Ridge Leadership Computing Facility, one of DOE’s National User Facilities, and home to the Frontier supercomputer.
Major Duties and Responsibilities:
Work with NCCS researchers on a wide variety of high-performance computing platform design projects.
Assist with the integration and deployment of research in hardware-software design and heterogeneous large-scale systems.
Perform scaling and performance evaluations of modern heterogeneous and extreme-scale high-performance computing systems.
Develop analytics to understand use of current systems to help define requirements for future systems.
Research and develop new capabilities that enhance ORNL’s leading data infrastructures.
Collaborate in authoring peer reviewed papers, technical papers, reports, and proposals.
The Technology Integration Group at Oak Ridge National Laboratory is seeking a highly motivated scientist to assist with the research, design, and deployment for next-generation leadership computing systems. The successful candidate should understand one or more of the following:
Processor architectures (e.g., CPU, GPU, FPGA)
Memory architectures (e.g., DRAM, DDR, HBM, persistent memories)
Interconnects (e.g., electrical, optical, various topologies)
Storage hierarchy (e.g., Flash, NVMe, HDD, tape)
This position is part of the Advanced Technologies Section within the National Center for Computational Sciences (NCCS) Division. The Advanced Technologies Section offers scientific, technical, operational, and thought leadership by developing, hardening, and deploying solutions for compute and data intensive computing environments.
The NCCS provides state-of-the-art computational and data science infrastructure, coupled with dedicated technical and scientific professionals, to accelerate scientific discovery and engineering advances across a broad range of disciplines. NCCS hosts the Oak Ridge Leadership Computing Facility, one of DOE’s National User Facilities, and home to the Frontier supercomputer.
Major Duties and Responsibilities:
Work with NCCS researchers on a wide variety of high-performance computing platform design projects.
Assist with the integration and deployment of research in hardware-software design and heterogeneous large-scale systems.
Perform scaling and performance evaluations of modern heterogeneous and extreme-scale high-performance computing systems.
Develop analytics to understand use of current systems to help define requirements for future systems.
Research and develop new capabilities that enhance ORNL’s leading data infrastructures.
Collaborate in authoring peer reviewed papers, technical papers, reports, and proposals.
RequirementsBasic Qualifications:
B.S. in computer science, computer engineering, computational science, or a related field and 4+ years of experience or equivalent or M.S. in one of these fields and 2+ years of experience.
Familiarity with systems programming.
Proven ability to analyze, design, develop, and deploy solutions.
Preferred Qualifications:
Ph.D. in computer science, computer engineering, computational science, or a related field and 2+ years of relevant experience.
Excellent interpersonal skills, oral and written communication skills, and strong personal motivation.
Experience with one or more of:
Working with compute accelerators and heterogeneous node and system architectures,
Hierarchical memory architectures and/or storage class memories,
High-performance interconnects, and/or
Heterogeneous system design and deployment.
Experience with modern software development practices.
A good understanding of hardware/software interactions at the Linux kernel level.
Special Requirement:
This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.
Company DescriptionAs the largest Department of Energy science and energy laboratory, ORNL engages in diverse research activities that support the department’s mission of ensuring America’s security and prosperity by addressing its energy, environmental and security challenges.
Leveraging the talents of its world-class researchers and exceptional support staff, Oak Ridge National Laboratory is helping solve critical scientific and technical challenges and, in so doing, creating economic opportunity for the nation. ORNL provides access to unique facilities, laboratories, and equipment, drawing thousands of visiting researchers each year. A vibrant and welcoming scientific community, ORNL embraces the pursuit of innovative ideas and invests in its people to ensure their success.
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
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2022-10-17
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Scientist – Computational Fluid Dynamics on Exascale Architectures
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NASA Langley Research Center
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Hampton, VA
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SessionJob Postings
DescriptionThe National Institute of Aerospace, located in Hampton, Virginia, is seeking candidates for a Research Scientist to conduct research and development aimed at exascale-class computational fluid dynamics simulations. The analysis and design of aerospace vehicles requires high-fidelity simulations capturing broad ranges of temporal and spatial scales previously considered intractable with the current class of petascale computing systems. A successful candidate is expected to develop, implement, and demonstrate computationally-performant implementations of existing and nascent algorithms at scale, targeting GPU-based High-Performance Computing (HPC) systems while retaining performance portability to CPU-based architectures.
The successful candidate will work as part of a tightly integrated interdisciplinary team of researchers at NIA, NASA, and in academia to advance the capabilities of interest. Results of this work are expected to be published in both conference proceedings and journal papers.
Primary Responsibilities:
- Develop, implement, and demonstrate optimal performance of computational kernels critical to exascale-class simulations of aeronautics and space applications relevant to NASA missions.
- Collaborate within a multidisciplinary team, leveraging GPU-based HPC systems and state of the art programming models to realize a sustainable, performance-portable computational toolset for next-generation CFD simulations.
The successful candidate will work as part of a tightly integrated interdisciplinary team of researchers at NIA, NASA, and in academia to advance the capabilities of interest. Results of this work are expected to be published in both conference proceedings and journal papers.
Primary Responsibilities:
- Develop, implement, and demonstrate optimal performance of computational kernels critical to exascale-class simulations of aeronautics and space applications relevant to NASA missions.
- Collaborate within a multidisciplinary team, leveraging GPU-based HPC systems and state of the art programming models to realize a sustainable, performance-portable computational toolset for next-generation CFD simulations.
RequirementsRequirements:
- MS in engineering, applied mathematics, computer science, physics, or equivalent, with strong background in HPC and computational science for large-scale applications.
- Demonstrated experience in GPU programming techniques for real-world applications; ability to achieve and demonstrate optimal performance for both memory and compute-bound motifs.
- A desire to quickly learn and apply new paradigms relevant to current and emerging architectures, and an eagerness to work in a team environment.
- Ability to successfully complete a background investigation required to obtain a NASA badge.
- US citizenship or permanent resident status is a bona fide requirement.
Desired Skills:
- PhD preferred.
- Previous experience targeting performance portability and the use of programming abstraction models.
- Previous experience working with unstructured grids and implicit solution techniques.
- Knowledge of fluid mechanics, numerical methods, and/or physical modeling techniques.
Company DescriptionNIA, located near NASA Langley Research Center in Hampton, Virginia, is a non-profit research and graduate education institute created to perform aerospace and atmospheric research, develop new technologies for the nation, and help inspire the next generation of scientists and engineers.
NIA is ranked #1 in the mid/large sized companies 2021 Top 50 Best Nonprofits to work for in the U.S.!
NIA is an equal opportunity/affirmative action employer and does not discriminate against any applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under Federal, State or local laws.
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2022-10-03
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hpc Hardware Engineer
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Tactical Computing Laboratories
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Remote
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SessionJob Postings
DescriptionTCL is developing leading edge processors and accelerators to power the next generation of HPC systems and other scientific instruments. These processors will run scientific workloads everywhere from Earth’s orbit to the largest terrestrial data centers. TCL seeks to create a new, scalable compute platform targeted at accelerating applications that are of critical performance but do not scale on current systems. To accomplish this, TCL is architecting custom processors, accelerators.
Essential:
Development of RISC-V based processor cores
Development of application specific accelerators
Development of memory, network and other IO interfaces
Creation of tests for hardware validation
Desired:
Assist with architecting new software simulation modules
Assist with performance and power projection studies
Assist with full system design parameters
TCL is seeking talented hardware engineers for multiple full time positions for:
Processor Design and Architecture Development
FPGA Accelerator Development
ASIC Development
*** THIS POSITION IS 100% REMOTE AND DOES NOT REQUIRE TRAVEL ***
Essential:
Development of RISC-V based processor cores
Development of application specific accelerators
Development of memory, network and other IO interfaces
Creation of tests for hardware validation
Desired:
Assist with architecting new software simulation modules
Assist with performance and power projection studies
Assist with full system design parameters
TCL is seeking talented hardware engineers for multiple full time positions for:
Processor Design and Architecture Development
FPGA Accelerator Development
ASIC Development
*** THIS POSITION IS 100% REMOTE AND DOES NOT REQUIRE TRAVEL ***
RequirementsEssential:
Masters / PhD (or equivalent experience) in computer science or computer architecture
Excellent Verilog skills
Experience with FPGA or ASIC design
Experience with Python programming
Experience utilizing Git for development
Experience developing in/for Unix/Linux/OSX
US citizen and subject to background check
Desired:
Experience with Scala or Chisel
Experience with C++
Knowledge of the RISC-V Architecture
Experience with LaTeX
Company DescriptionOur experience in designing advanced computing platforms for computationally-intensive and data-intensive workloads has proven this time and time again. As a result, we are at the forefront of advanced platform development that efficiently marries traditional programming models and advanced hardware technologies.
We have a long history in providing evaluations for early-access, bleeding-edge platforms. We can optimize your algorithms for new platforms or develop new algorithms for your mission.
Tactical Computing Laboratories also has tremendous experience in developing platform-optimized runtime models and can provide evaluations of your algorithms and applications as well as areas for optimization.
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2022-10-24
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Intern for Enterprise IOT and Data Science
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KLA
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Milpitas, California
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SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam’s mission encapsulates its role as the “eyes” of KLA’s product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.
You will be working for a Software team of highly motivated Engineers who create Semiconductor Inspection/Review tools by solving high end Physics problems with their mastery of Software. If you come join our team, you will be enabling the Human Race to innovate the next generation of CPUs, GPUs and DL engines like Bionic Chips.
If you believe a code is not done when it works, it is done only when it is elegant, clean and has automated Tests to cover it, you are the Candidate we are looking for. Even though we prefer C#, being Polyglot helps.
If you are strong in Object Oriented Concepts, Data Structures and Algorithms with good understanding of using any modern Object Oriented Language and an eye for clean, readable and maintainable code you would fit right in our team. Having a passion to learn new technologies and the perseverance to take on challenging problems.
The following skills are completely optional and would help you in the job if you have them. Have the interest not the opportunity, come learn from us:
Data analytics
Native Applications with Web Frameworks
Machine Learning
Passion for Physics
Programming autonomous systems
You will be working for a Software team of highly motivated Engineers who create Semiconductor Inspection/Review tools by solving high end Physics problems with their mastery of Software. If you come join our team, you will be enabling the Human Race to innovate the next generation of CPUs, GPUs and DL engines like Bionic Chips.
If you believe a code is not done when it works, it is done only when it is elegant, clean and has automated Tests to cover it, you are the Candidate we are looking for. Even though we prefer C#, being Polyglot helps.
If you are strong in Object Oriented Concepts, Data Structures and Algorithms with good understanding of using any modern Object Oriented Language and an eye for clean, readable and maintainable code you would fit right in our team. Having a passion to learn new technologies and the perseverance to take on challenging problems.
The following skills are completely optional and would help you in the job if you have them. Have the interest not the opportunity, come learn from us:
Data analytics
Native Applications with Web Frameworks
Machine Learning
Passion for Physics
Programming autonomous systems
RequirementsMinimum Qualifications
Some College or work experience of 0 years
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hpc Simulation Developer
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Tactical Computing Laboratories
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Remote
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SessionJob Postings
DescriptionTCL is developing a simulation environment capable of modeling next generation processors, memories and entire HPC systems. Based on the open-source Structural Simulation Toolkit (SST – http://www.sst-simulator.org) TCL is creating advanced models of RISC-V based cores for use in future systems that range from IoT and edge devices to the largest HPC systems. The data generated by these simulations can overwhelm traditional analysis methods and TCL seeks to develop new techniques and interfaces to organize, display and reason about the data produced by SST simulations. Finally, to better interact with complex simulation models TCL seeks to extend the GUI interface to SST allowing developers to quickly assemble and visualize large simulation models.
TCL is seeking talented C++ and or Python programmers for multiple full time positions for:
Modeling and simulation development
Large Scale Data Analysis
GUI Interface development
*** THIS POSITION IS 100% REMOTE AND DOES NOT REQUIRE TRAVEL ***
DUTIES AND RESPONSIBILITIES:
Essential:
Continuing development of SST models including the RISC-V model Rev
Architecting new SST models for emerging advanced HPC Systems
Development of advanced data analysis and visualization methods
Continuing development of GUI interface to the SST simulation infrastructure
Creation of tests for new simulation features
Desired:
Assist with architecting new hardware modules
Assist with full system design parameters
Assist with the creation of SST debugging features
TCL is seeking talented C++ and or Python programmers for multiple full time positions for:
Modeling and simulation development
Large Scale Data Analysis
GUI Interface development
*** THIS POSITION IS 100% REMOTE AND DOES NOT REQUIRE TRAVEL ***
DUTIES AND RESPONSIBILITIES:
Essential:
Continuing development of SST models including the RISC-V model Rev
Architecting new SST models for emerging advanced HPC Systems
Development of advanced data analysis and visualization methods
Continuing development of GUI interface to the SST simulation infrastructure
Creation of tests for new simulation features
Desired:
Assist with architecting new hardware modules
Assist with full system design parameters
Assist with the creation of SST debugging features
RequirementsEssential:
Masters / PhD (or equivalent experience) in computer science or computer architecture
Excellent C++ programming skills
Experience with Python programming
Experience utilizing Git for software development
Experience developing in/for Unix/Linux/OSX
US citizen and subject to background check
Desired:
Experience with the CMake build infrastructure
Knowledge of the RISC-V Architecture
Experience with LaTeX
Company DescriptionOur experience in designing advanced computing platforms for computationally-intensive and data-intensive workloads has proven this time and time again. As a result, we are at the forefront of advanced platform development that efficiently marries traditional programming models and advanced hardware technologies.
We have a long history in providing evaluations for early-access, bleeding-edge platforms. We can optimize your algorithms for new platforms or develop new algorithms for your mission.
Tactical Computing Laboratories also has tremendous experience in developing platform-optimized runtime models and can provide evaluations of your algorithms and applications as well as areas for optimization.
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2022-10-24
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Engineers (f/m/d) in High Performance Computing
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Leibniz Supercomputing Centre
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Munich, Germany
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SessionJob Postings
DescriptionYour Role and Responsibilities:
• Optimize and improve applications for LRZ’s current and upcoming leadership-class HPC sys-tems.
• Participate in application development and porting for prospective Exascale systems with ac-celerated node architectures.
• Keep in touch with our power users and the astrophysical community and help them to track and solve their HPC problems.
• Maintain the software stack of domain specific applications and provide user support.
• Organize and promote trainings, courses and scientific outreach activities.
• Optimize and improve applications for LRZ’s current and upcoming leadership-class HPC sys-tems.
• Participate in application development and porting for prospective Exascale systems with ac-celerated node architectures.
• Keep in touch with our power users and the astrophysical community and help them to track and solve their HPC problems.
• Maintain the software stack of domain specific applications and provide user support.
• Organize and promote trainings, courses and scientific outreach activities.
RequirementsYour Qualifications:
• PhD or university (post) graduate degree, diploma, master’s degree or equivalent in a compu-ting related scientific domain: quantum chemistry, physics, engineering, computational sci-ences, mathematics, ...
• Experience with HPC applications in at least one scientific computing domain
• Programming skills/experience are desired in
- High-level language: C, C++, or Fortran
-Scripting language: Python, Julia, bash, …
- Parallel programming: MPI, OpenMP
- Accelerator programming: CUDA, OpenACC, DPC++, OpenMP
• Knowledge of HPC environments and system software, performance analy-sis, performance libraries and tools
• Good oral presentation and writing skills in German or English
• Communicate with customers and colleagues skills and capacity for teamwork
• You like communication and work with customers and colleagues to excel as a team
Company DescriptionWhat can you find with us?
Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly.
We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified.
Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital transformation of science, we are traditionally ahead of the game.
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2022-10-25
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Postdoctoral Appointee - AI for Science
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Argonne National Laboratory
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Lemont, Illinois
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SessionJob Postings
DescriptionArgonne National Laboratory invites applications from outstanding candidates for multiple postdoctoral research positions in applying artificial intelligence (AI) and machine learning / deep learning (ML/DL) methods to scientific problems as well as for research in foundational aspects of AI.
Areas of interest include, but are not limited to, the following:
-AI-driven discovery and design
-Goal-driven design of materials, chemicals, proteins, and organisms
-AI for understanding complex systems and ecologies
-Self-driving robotic laboratories
-AI-based program synthesis and automated software generation
-AI-augmented control for accelerators and science facilities
-Intelligent sensing and reactive modeling
-Predictive crisis response and proactive decision support
-Rare-events analysis and understanding
-AI-driven manufacturing scale-up
-Foundational research in AI — mathematical, statistical, and information theoretic methods to advance AI for Science; development of new scalable AI methods and software frameworks.
Candidates will have the opportunity to work on their own research projects that are synergistic with other efforts at Argonne as well as be mentored and advised by Argonne scientists so as to form connections and collaboration opportunities with Argonne research efforts in this space. Candidates will have the opportunity to run on advanced supercomputing facilities at the Argonne Leadership Computing Facility (ALCF), including the upcoming Aurora exascale system, other GPU-based systems, as well as specialized AI hardware from vendors such as Cerebras, SambaNova, Graphcore, and Groq.
Areas of interest include, but are not limited to, the following:
-AI-driven discovery and design
-Goal-driven design of materials, chemicals, proteins, and organisms
-AI for understanding complex systems and ecologies
-Self-driving robotic laboratories
-AI-based program synthesis and automated software generation
-AI-augmented control for accelerators and science facilities
-Intelligent sensing and reactive modeling
-Predictive crisis response and proactive decision support
-Rare-events analysis and understanding
-AI-driven manufacturing scale-up
-Foundational research in AI — mathematical, statistical, and information theoretic methods to advance AI for Science; development of new scalable AI methods and software frameworks.
Candidates will have the opportunity to work on their own research projects that are synergistic with other efforts at Argonne as well as be mentored and advised by Argonne scientists so as to form connections and collaboration opportunities with Argonne research efforts in this space. Candidates will have the opportunity to run on advanced supercomputing facilities at the Argonne Leadership Computing Facility (ALCF), including the upcoming Aurora exascale system, other GPU-based systems, as well as specialized AI hardware from vendors such as Cerebras, SambaNova, Graphcore, and Groq.
Requirements-A recent or soon-to-be completed PhD (typically completed within 0-3 years) in computer science, physical sciences, engineering, or related field
-Experience in programming with one or more programming languages, such as C, C++, or Python
-Experience with machine learning methods and deep learning frameworks, such as TensorFlow or PyTorch
-Knowledge of software development practices and techniques for computational and data-
intensive science problems
-Ability to conduct interdisciplinary research combining physical sciences/engineering and
computing
-Effective collaboration skills and ability to work in a team environment
-Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Application materials requested:
-CV/Resume
-Two-page statement of research interests
-The positions are available immediately, but there is flexibility in start dates
Company DescriptionInterested in translating science into innovation? Build your career at Argonne.
At Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future.
To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers site.
To learn more about the exciting science going on at Argonne, visit our Science and Technology page.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Software Engineer, Machine Learning (AI) Engineer, Software Engineer, Data Scientist
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Lockheed Martin
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Varies
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SessionJob Postings
DescriptionEmployment Opportunities are skills based and will vary depending on the position:
• Developing, optimizing, compiling, implementing, and testing multithreaded, multiprocessor performance-oriented software with Message Passing Interface, OpenMP, CUDA or other parallel processing framework
• State-of-the-art parallel computing techniques including distributed computing, algorithm optimization, or benchmarking
• Requirements development, architecture, design, implementation, testing, release, and maintenance of complex numerical simulation software and parallel software solutions
• Building, compiling, and debugging complex Fortran (current and legacy versions), C/C++, Java, Scala, Python, R, Red Hat or similar language code
• Software development in GPU based environments
• Electromagnetics, fluid dynamics, multi-physics Finite Element Analysis, generative design, control theory, optimization, directed energy and/or other physics-based modeling and simulation
• Artificial Intelligence technologies, such as general machine learning algorithms and neural networks in a parallel HPC environment
• Integrating machine learning and deep learning frameworks, theory, and practice and deep learning toolsets (e.g. TensorFlow PyTorch, Caffe, Keras, etc.)
• Applying machine learning techniques to solve computer vision, natural language processing, signal processing, and image processing
• Verifying and validating machine learning models for use in safety critical applications
• Using machine learning to parse and contextualize written/free text
• Interface, configuration, and optimization HPC technologies such as parallel/distributed files systems (Lustre), high speed interconnect fabrics (Infiniband), and HPC batch scheduling software
• Hadoop-based HPC clusters focused on processing massive data sets collected from fleets of complex equipment with a focus on advanced algorithm development covering areas like diagnostics and prognostics, machine health management, and predictive maintenance
• Design effective use of computational resources (memory, I/O buffering, threads, etc.) in application code
• Staying informed of state-of-the-art developments, experimenting with and championing new technologies and recommending improvements to existing techniques and procedures
• Understand complex engineering principles to effectively communicate with users, understand their work, and translate requirements into software solutions
• Team building and interpersonal skills, capable of building relationships with key internal and external stakeholders across multiple geographic locations
• Consult on complex data engineering efforts and lead project teams through the solution design process
• Developing, optimizing, compiling, implementing, and testing multithreaded, multiprocessor performance-oriented software with Message Passing Interface, OpenMP, CUDA or other parallel processing framework
• State-of-the-art parallel computing techniques including distributed computing, algorithm optimization, or benchmarking
• Requirements development, architecture, design, implementation, testing, release, and maintenance of complex numerical simulation software and parallel software solutions
• Building, compiling, and debugging complex Fortran (current and legacy versions), C/C++, Java, Scala, Python, R, Red Hat or similar language code
• Software development in GPU based environments
• Electromagnetics, fluid dynamics, multi-physics Finite Element Analysis, generative design, control theory, optimization, directed energy and/or other physics-based modeling and simulation
• Artificial Intelligence technologies, such as general machine learning algorithms and neural networks in a parallel HPC environment
• Integrating machine learning and deep learning frameworks, theory, and practice and deep learning toolsets (e.g. TensorFlow PyTorch, Caffe, Keras, etc.)
• Applying machine learning techniques to solve computer vision, natural language processing, signal processing, and image processing
• Verifying and validating machine learning models for use in safety critical applications
• Using machine learning to parse and contextualize written/free text
• Interface, configuration, and optimization HPC technologies such as parallel/distributed files systems (Lustre), high speed interconnect fabrics (Infiniband), and HPC batch scheduling software
• Hadoop-based HPC clusters focused on processing massive data sets collected from fleets of complex equipment with a focus on advanced algorithm development covering areas like diagnostics and prognostics, machine health management, and predictive maintenance
• Design effective use of computational resources (memory, I/O buffering, threads, etc.) in application code
• Staying informed of state-of-the-art developments, experimenting with and championing new technologies and recommending improvements to existing techniques and procedures
• Understand complex engineering principles to effectively communicate with users, understand their work, and translate requirements into software solutions
• Team building and interpersonal skills, capable of building relationships with key internal and external stakeholders across multiple geographic locations
• Consult on complex data engineering efforts and lead project teams through the solution design process
RequirementsBasic Qualifications (varies with position):
Degrees in Computer Science, Data Science, Machine Learning/Artificial Intelligence, Mathematics, Engineering or related fields with scientific computing experience.
Experience in the application of those disciplines.
Company DescriptionLockheed Martin (NYSE: LMT) solves the world’s toughest technology challenges to address our customers’ critical missions. More than 100 nations rely on Lockheed Martin employees, products and technologies to help them protect and connect their citizens and advance scientific discovery. In a time of growing uncertainty and unpredictable threats, we focus on innovation at scale and performance excellence to keep our customers at the center of everything we do.
https://www.lockheedmartin.com
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2022-10-25
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Intern - Computer Science Research Institute (CSRI) - R&D Graduate Summer
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Sandia National Lab
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New Mexico
Hide Details
SessionJob Postings
DescriptionWe are seeking Summer R&D Graduate Intern to join our dynamic team in 2023!
The Computer Science Research Institute (CSRI) seeks several students to participate in collaborative research across a wide range of areas in computer science, applied mathematics, discrete mathematics, mathematical modeling, computational science and engineering, parallel computing, and computational neuroscience. Possible research areas include advanced computer architectures, systems software, parallel algorithms, programming languages and paradigms, networks, data sciences, combinatorial mathematics, discrete event simulation, scalable linear and nonlinear solvers, continuous and discrete optimization, uncertainty quantification, statistics, multiscale methods and mathematics, multiphysics modeling, visualization, visual cognition, meshing, cybersecurity, advanced modeling and simulation, human decision modeling, machine learning, brain inspired computing and assessing human performance. Students are also sought with interests in applying computational methods to scientific and engineering applications including shock physics, molecular dynamics, magnetohydrodynamics, computational fluid dynamics, electrical systems, and climate science. These student internships are for motivated and enthusiastic individuals with excellent communication skills and who have the desire to gain research experience in a highly collaborative research environment. Successful applicants will be exposed to a wide range of computational research at Sandia and will have a strong project-based research experience working directly with Sandia staff scientists.
There are opportunities at both our Livermore, CA and Albuquerque, NM laboratories.
The Computer Science Research Institute (CSRI) seeks several students to participate in collaborative research across a wide range of areas in computer science, applied mathematics, discrete mathematics, mathematical modeling, computational science and engineering, parallel computing, and computational neuroscience. Possible research areas include advanced computer architectures, systems software, parallel algorithms, programming languages and paradigms, networks, data sciences, combinatorial mathematics, discrete event simulation, scalable linear and nonlinear solvers, continuous and discrete optimization, uncertainty quantification, statistics, multiscale methods and mathematics, multiphysics modeling, visualization, visual cognition, meshing, cybersecurity, advanced modeling and simulation, human decision modeling, machine learning, brain inspired computing and assessing human performance. Students are also sought with interests in applying computational methods to scientific and engineering applications including shock physics, molecular dynamics, magnetohydrodynamics, computational fluid dynamics, electrical systems, and climate science. These student internships are for motivated and enthusiastic individuals with excellent communication skills and who have the desire to gain research experience in a highly collaborative research environment. Successful applicants will be exposed to a wide range of computational research at Sandia and will have a strong project-based research experience working directly with Sandia staff scientists.
There are opportunities at both our Livermore, CA and Albuquerque, NM laboratories.
RequirementsYou bring the confidence and skills to be eligible for the job by meeting these minimum requirements:
Earned bachelor's degree
Currently attending and enrolled full time (or scheduled to graduate in the spring) in an accredited science, engineering, or math graduate program
Minimum cumulative GPA of 3.0/4.0
Ability to work up to 40 hours per week during the summer
U.S. citizen, asylee, refugee, or lawful permanent resident of the U.S.
Note: If you have not yet started your graduate program, please apply to an undergraduate intern position.
Company DescriptionFor more than 70 years, Sandia has delivered essential science and technology to resolve the nation’s most challenging security issues.
Sandia National Laboratories is operated and managed by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc. National Technology and Engineering Solutions of Sandia operates Sandia National Laboratories as a contractor for the U.S. Department of Energy’s National Nuclear Security Administration (NNSA) and supports numerous federal, state, and local government agencies, companies, and organizations.
As a Federally Funded Research and Development Center ( FFRDC), Sandia may perform work for industry responding to certain types of federal government solicitations. The solicitation must allow FFRDC participation and meet the requirements of Sandia’s management and operating contract with DOE/NNSA.
A strong science, technology, and engineering foundation enables Sandia’s mission through a capable research staff working at the forefront of innovation, collaborative research with universities and companies, and discretionary research projects with significant potential impact.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Postdoctoral Appointee - High-Performance Computing System and AI for X-Ray Science
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Argonne National Laboratory
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Lemont, Illinois
Hide Details
SessionJob Postings
DescriptionWe are currently seeking a Postdoctoral Researcher to work at the intersection of machine learning and high-performance computing (HPC) systems and develop artificial intelligence (AI) and machine learning (ML) solutions for DOE scientific user facilities. In particular, the project aims to develop AI/ML models and infrastructure to extract features in X-ray detector data at the Advanced Photon Source (APS) at Argonne and Linac Coherent Light Source (LCLS) at SLAC. Because such models can run at high speeds, thanks to advances in AI accelerators, it becomes feasible to extract salient information from in-flight data, in real time, and thus both enabling fast feedback and reducing downstream computational burden.
In this role you will conduct cutting-edge research in data science and deep learning applied to scientific problems in X-ray science and play a key role in developing physics-based AI/ML models, developing workflow and implement rapid ML model training on data center AI systems (e.g., ALCF AI Testbed and Argonne's Aurora exascale supercomputer), end-to-end model training workflows and explore AI accelerators for simulation applications.
In this role you will conduct cutting-edge research in data science and deep learning applied to scientific problems in X-ray science and play a key role in developing physics-based AI/ML models, developing workflow and implement rapid ML model training on data center AI systems (e.g., ALCF AI Testbed and Argonne's Aurora exascale supercomputer), end-to-end model training workflows and explore AI accelerators for simulation applications.
Requirements- Recent PhD (typically completed within 0-3 years) in a computer science, physical sciences or engineering or related field.
- Comprehensive experience programming in one or more programming languages, such as Python.
- Experience with machine learning methods and deep learning frameworks, including tensorflow, pytorch.
- Software development practices and techniques for computational and data-intensive science problems.
- Experience in interdisciplinary research involving computer and material scientists.
- Experience with applied machine learning (e.g., successful projects that used ML to resolve scientific problems).
- Experience with high-performance computing and/or scientific workflow.
- Exceptional communication skills, ability to communicate effectively with internal and external collaborators and ability to work in team environment
- Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Company DescriptionInterested in translating science into innovation? Build your career at Argonne.
At Argonne, we view the world from a different perspective. Our scientists and engineers conduct world-class research in clean energy, the environment, technology, national security and more. We’re finding creative ways to prepare the world for a better future.
To learn more about Argonne's benefits programs, amenities, and other employee programs, visit our main Careers site.
To learn more about the exciting science going on at Argonne, visit our Science and Technology page.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Quantum Computing Postdoctoral Scholars
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/applied-mathematics-dept/) and the National Energy Research Scientific Computing Center (NERSC, https://www.nersc.gov/) have a joint opening for a Quantum/Hybrid Algorithm Postdoctoral Scholar to join the team.
In this exciting role, you will participate in an interdisciplinary quantum computing project. The project involves quantum and hybrid quantum-classical algorithms on NISQ-era superconducting quantum computers. As a quantum algorithms researcher, you will work closely with researchers at NERSC and quantum computing experimentalists at the Advanced Quantum Testbed on co-design of algorithms and experimental systems.
In this exciting role, you will participate in an interdisciplinary quantum computing project. The project involves quantum and hybrid quantum-classical algorithms on NISQ-era superconducting quantum computers. As a quantum algorithms researcher, you will work closely with researchers at NERSC and quantum computing experimentalists at the Advanced Quantum Testbed on co-design of algorithms and experimental systems.
RequirementsWhat is Required:
• Ph.D. in Chemistry, Physics, Computer Science, Engineering, or related fields.
• Strong background in quantum algorithms and computing.
• Experience with quantum computing software stack.
• Excellent communication skills to facilitate interdisciplinary work with multiple collaborators and to represent the team's work at conferences.
Desired Qualifications:
• Experience with, and understanding of, benchmarking tools and other QCVV.
• Prior experience with execution of quantum and hybrid algorithms (including VQE and other variational algorithms) on NISQ-era hardware is strongly desirable.
• Prior experience with ML and quantum machine learning.
• Experience with machine learning libraries such as TensorFlow, Keras, Scikit-learn, etc.
• Strong publication record.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Engineer/Computer Scientist Scalable HPC
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Sandia National Lab
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albuqueque
Hide Details
SessionJob Postings
DescriptionWe are seeking computer scientists that are interested in shaping the future of parallel computing.
On any given day, staff in our department :
Engage with an agile team to research, design, and/or implement highly scalable concurrent runtimes and algorithms targeting emerging architectural platforms
Collaborate with diverse groups of domain experts to understand requirements, co-design/development of scalable computer systems, and/or applications
Develop fault diagnosis and recovery, risk mitigation, and co-design methods to improve the resilience of exascale and emerging platforms and applications experiencing hardware or software anomalies
Work closely with engineering analysis and software teams to ensure that the workflow infrastructure can support analysts developing credible models for ND impact
On any given day, staff in our department :
Engage with an agile team to research, design, and/or implement highly scalable concurrent runtimes and algorithms targeting emerging architectural platforms
Collaborate with diverse groups of domain experts to understand requirements, co-design/development of scalable computer systems, and/or applications
Develop fault diagnosis and recovery, risk mitigation, and co-design methods to improve the resilience of exascale and emerging platforms and applications experiencing hardware or software anomalies
Work closely with engineering analysis and software teams to ensure that the workflow infrastructure can support analysts developing credible models for ND impact
RequirementsQUALIFICATIONS WE REQUIRE:
Bachelor’s degree in STEM with a least five years’ experience; or 13 years of relevant engineering or scientific experience
Demonstrated proficiency with code development and software engineering
Ability to obtain a U.S. DOE Q-level security clearance
QUALIFICATIONS WE DESIRE:
Experience in one or more of the following areas: computer system performance modeling and analysis, HPC system resilience, fault tolerance, theory of concurrency and parallelism, large-scale concurrent algorithms, and/or scalable programming models research and development
Proficiency with high-performance computing platforms and tools
Experience with one or more of the following: delivering production software, Object Oriented Programming in C#, Java, or C++, GUI development, Simulation Process and Data Management, Agile software development methodology, version control systems, and/or detailing software requirements and design
Demonstrated written- and verbal-communication skills
Ability to work in a collaborative research environment on problems in a variety of domains
Proficiency in solving problems, prioritizing work, and making decisions
Familiarity with the processes for obtaining and managing research funding, including building project teams, writing grants and progress reports, and working with sponsors
Evidence of professional service to the community, such as service on diversity and inclusion committees, program committees, workshop organization, and/or editorial work
Company DescriptionSandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov*These benefits vary by job classification.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computational Scientist (m/f/d) for AI and Data-Driven Applications in High-Performance Computing
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Leibniz Supercomputing Centre
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Munich, Germany
Hide Details
SessionJob Postings
DescriptionYou are looking for an employer you can count on?
We are seeking
Computational Scientist (m/f/d) for AI and Data-Driven Applications in High-Performance Computing (Containers, Machine Learning, Parallel Python, Frameworks, Cloud, Workflows Automation, Kubernetes)
for technology evaluation and support of compute projects on our high-performance systems.
This is what you can expect from us:
• Access to latest AI and HPC hardware (CPUs, GPUs)
• Contact with technology providers and developers (hardware/software)
• User projects with novel approaches
• National and European collaboration partners and projects
• Friendly, open and international work environment
• Driving your own ideas
We are seeking
Computational Scientist (m/f/d) for AI and Data-Driven Applications in High-Performance Computing (Containers, Machine Learning, Parallel Python, Frameworks, Cloud, Workflows Automation, Kubernetes)
for technology evaluation and support of compute projects on our high-performance systems.
This is what you can expect from us:
• Access to latest AI and HPC hardware (CPUs, GPUs)
• Contact with technology providers and developers (hardware/software)
• User projects with novel approaches
• National and European collaboration partners and projects
• Friendly, open and international work environment
• Driving your own ideas
RequirementsThis is what we expect from you
• Proficiency/experience in at least one or more of the following technologies
• Machine Learning/AI: Application, Frameworks
• (Parallel) Python, Julia, novel scripting languages
• Cloud computing, Kubernetes
• Containerization in the cloud and/or HPC
• Proficiency working in Linux environments
• Good German or English writing and presentation skills
• Friendly contact with our users in second and third level support
• Masters degree in computer science, physics, computational chemistry, mathematics or other
areas of scientific computing
These additional skills are appreciated:
• Programming experience in C, C++, Fortran
• Git, GitLab, CI/CD
• CUDA / SYCL / OpenMP programming of GPUs
• High performance computing
• Package manager: SPACK, EasyBuild
• Jupyter Lab / Jupyter Hub
Company DescriptionWhat can you find with us?
Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly.
We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified.
Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital transformation of science, we are traditionally ahead of the game.
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2022-10-30
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Postdoc for Visualization for Scientific Machine Learning
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionPostdoc for Visualization for Scientific Machine Learning - 97208
Division: DD-Data Science
Berkeley Lab’s Machine Learning and Analytics Group in the Scientific Data Division has a new opening for a Postdoctoral Fellow in Visualization for Scientific Machine Learning. In this exciting role, you will conduct fundamental and applied research in visualization and scientific machine learning, as well as related areas including visual analytics, dimension reduction, feature detection (e.g., via topological data analysis), and/or high-performance computing.
What You Will Do:
• Perform research on visualization for scientific machine learning.
• Design new visualization methods for understanding machine learning models.
• Disseminate research results by publishing and presenting in high-impact journals and top conferences in the areas of visualization, machine learning and artificial intelligence.
Additional Responsibilities as needed:
• Develop visual analytics approaches incorporating newly developed visualization and dimension reduction methods.
• Apply dimension reduction and feature detection, e.g., via topological data analysis, to high-dimensional diagnostics of machine learning models, such as loss functions.
• Develop high-performance algorithms for visualization and data analysis of machine learning models.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243109 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: DD-Data Science
Berkeley Lab’s Machine Learning and Analytics Group in the Scientific Data Division has a new opening for a Postdoctoral Fellow in Visualization for Scientific Machine Learning. In this exciting role, you will conduct fundamental and applied research in visualization and scientific machine learning, as well as related areas including visual analytics, dimension reduction, feature detection (e.g., via topological data analysis), and/or high-performance computing.
What You Will Do:
• Perform research on visualization for scientific machine learning.
• Design new visualization methods for understanding machine learning models.
• Disseminate research results by publishing and presenting in high-impact journals and top conferences in the areas of visualization, machine learning and artificial intelligence.
Additional Responsibilities as needed:
• Develop visual analytics approaches incorporating newly developed visualization and dimension reduction methods.
• Apply dimension reduction and feature detection, e.g., via topological data analysis, to high-dimensional diagnostics of machine learning models, such as loss functions.
• Develop high-performance algorithms for visualization and data analysis of machine learning models.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243109 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• PhD degree, within the last 3 years, in Computer Science, Applied Mathematics, or a related technical field.
• Experience in visualization and machine learning.
• Proficiency in Python and/or related language.
• Proficiency in C++.
• Ability to publish in top journals and conferences.
• Ability to conduct research in a highly collaborative environment.
• Excellent verbal and written communication skills.
Desired Qualifications:
• Experience in feature-based visualization, e.g., via topological data analysis.
• Experience with dimension reduction methods.
• Experience in developing visual analytics systems.
• Experience with one or more of the machine learning libraries: PyTorch, Tensorflow, Jax.
• Experience with data analysis libraries, for example, scikit-learn.
• Ability to design and implement visualization and feature-dection algorithms on shared- and distributed-memory parallel platforms.
• Software engineering tools: make, CMake, revision control systems (such as git).
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
C++/Java Engineer
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Sandia National Lab
·
albuqueque
Hide Details
SessionJob Postings
DescriptionPassionate about the protection of critical and high value targets? Join our dynamic team and make a difference providing creative solutions to unique national security challenges!
We are seeking R&D Computer Science professionals to join highly productive teams that research and develop innovative solutions to a broad spectrum of problems of national importance. In this role, you will collaborate in an innovating environment to architect, design, develop, test, and deploy modern data processing software for sophisticated, real-time decision support systems!
On any given day, you may be called on to:
Work on a team developing software systems addressing exciting remote sensing problems, including the capture, processing, exploitation, visualization, and distribution of real-time satellite sensor data.
Collaborate with architects, developers, technical leads, customers, and end users to collect requirements, design solutions, and deliver extensible software applications.
Engage with diverse specialists in areas such as data fusion, signal and image processing, analytics, cloud computing, machine learning, modeling and simulation, service-oriented architectures, data management and visualization, and pattern recognition.
Applicants on this posting may interviewed and hired by multiple organizations within Center 6300.
Due to the nature of the work, the selected applicant must be able to work onsite.
Join our team and achieve your goals while making a difference!
We are seeking R&D Computer Science professionals to join highly productive teams that research and develop innovative solutions to a broad spectrum of problems of national importance. In this role, you will collaborate in an innovating environment to architect, design, develop, test, and deploy modern data processing software for sophisticated, real-time decision support systems!
On any given day, you may be called on to:
Work on a team developing software systems addressing exciting remote sensing problems, including the capture, processing, exploitation, visualization, and distribution of real-time satellite sensor data.
Collaborate with architects, developers, technical leads, customers, and end users to collect requirements, design solutions, and deliver extensible software applications.
Engage with diverse specialists in areas such as data fusion, signal and image processing, analytics, cloud computing, machine learning, modeling and simulation, service-oriented architectures, data management and visualization, and pattern recognition.
Applicants on this posting may interviewed and hired by multiple organizations within Center 6300.
Due to the nature of the work, the selected applicant must be able to work onsite.
Join our team and achieve your goals while making a difference!
RequirementsQUALIFICATIONS WE REQUIRE:
Bachelor's and master's or PhD in a relevant STEM field; OR equivalent combination of relevant education and experience
Experience in software design, engineering, and development
Experience with object-oriented software development in C++, Java, or Python
Ability to obtain and maintain a DOE Q clearance
QUALIFICATIONS WE DESIRE:
Experience with the full software development process using Agile or Iterative methodologies
Experience using a subset of the following: system engineering, hardware and software architecture, distributed system design, data exploitation/mining/fusion algorithms, digital signal processing, image processing, optical systems, command and control systems, numerical analysis, modeling and simulation, relational/object/geographic database technologies, user interfaces, scientific data visualization, web services technologies, and multi-core/GPU/parallel computing
Proficiency in a subset of the following: requirements capture, software modeling using UML, systems-level software testing, high consequence anomaly resolution, documentation and training, information assurance, and deployment of delivered systems
Experience with Docker, Jenkins, continuous integration/continuous delivery for software development and deployment in cloud-based environments
Proven presentation and communication skills
Critical thinking, synthesis, and problem-solving skills
Ability to handle ambiguity and adapt to a fast-paced, customer-centric operation
Ability to work both independently and within a team
Ability to obtain SCI clearance, which may require polygraph testing
Company DescriptionSandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov*These benefits vary by job classification.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Postdoctoral Fellow: ML for autonomous materials discovery
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/) has an opening for a Postdoctoral Scholar to develop and apply machine learning, optimization, and sampling tools to autonomous materials discovery. You will be part of the Applied Computing for Scientific Discovery Group, which has a focus on enabling scientific discovery through the development of advanced software applications, tools, and libraries in key DOE mission areas, as well as the development of scientific computing applications and capabilities for the integration and analysis of complex data from simulation and experiment. In this position, you will play an integral role in a multidisciplinary team that includes scientists from energy technologies, physical sciences, and computational sciences. You will actively contribute to ACSD’s efforts in machine learning, optimization, and sampling to enable accelerated materials discovery and manufacturing scale-up.
This position is a research position combining elements of applied mathematics, optimization, statistics, machine learning, and computational science. The successful applicant will develop, test, and benchmark new optimization models, active learning and sampling strategies, and machine learning models that will close the feedback loop for automated materials discovery. A strong background in high performance computing and programming is a must.
This position is a research position combining elements of applied mathematics, optimization, statistics, machine learning, and computational science. The successful applicant will develop, test, and benchmark new optimization models, active learning and sampling strategies, and machine learning models that will close the feedback loop for automated materials discovery. A strong background in high performance computing and programming is a must.
RequirementsWhat is Required:
• Ph.D. in Applied Mathematics, Statistics, Machine Learning, Computational Science or related areas within the last 3 years, with a strong research background in machine learning, numerical optimization, and programming.
• Demonstrated research experience in the development and/or application of machine learning and computational optimization algorithms.
• Excellent Python programming skills.
• Demonstrated experience working on high performance computing.
• Ability and desire to work as part of an energetic cross-disciplinary team.
• Excellent oral and written communication skills.
• Strong interpersonal communication skills.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computational Materials Science Postdoctoral Fellow
·
Lawrence Berkeley National Laboratory
·
Remote
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Math and Computational Sciences Division has an opening for a Computational Materials Science Postdoctoral Fellow to join the team.
In this exciting role, you will be responsible for research focused on developing novel new algorithms and efficient HPC implementations in first principle electronic structure materials science and chemistry applications. The developments will be focused in reduced-scaling methods for ground and excited state approaches including the random-phase approximation (RPA), GW method, and real-time time-dependent density functional theory (RT-TDDFT) with physically tuned hybrid functionals. In addition, this position will contribute to the development and/or advancement of open-source software tools. Involvement in the publication of the research and contributions at conferences is expected.
The position will be part of an integrated team of computational materials scientists, chemists, physicists and HPC application developers that will design and deliver novel approaches, methodologies, algorithms and software to tackle large scale ground and excited state first principles materials simulations and scaling efforts to future leadership class HPC Exascale architectures.
In this exciting role, you will be responsible for research focused on developing novel new algorithms and efficient HPC implementations in first principle electronic structure materials science and chemistry applications. The developments will be focused in reduced-scaling methods for ground and excited state approaches including the random-phase approximation (RPA), GW method, and real-time time-dependent density functional theory (RT-TDDFT) with physically tuned hybrid functionals. In addition, this position will contribute to the development and/or advancement of open-source software tools. Involvement in the publication of the research and contributions at conferences is expected.
The position will be part of an integrated team of computational materials scientists, chemists, physicists and HPC application developers that will design and deliver novel approaches, methodologies, algorithms and software to tackle large scale ground and excited state first principles materials simulations and scaling efforts to future leadership class HPC Exascale architectures.
RequirementsWhat is required:
• PhD degree in Computational Materials Sciences, Computational Chemistry and Physics, or a relevant field is required.
• Strong fundamentals in computational materials sciences / chemistry methods for systems in the condensed phase.
• Demonstrated experience in applying computational physics methodologies to materials science problems including many-body perturbation theory and hybrid density functional theory algorithms and codes.
• Demonstrated ability to participate in and provide intellectual leadership to a cross-disciplinary team.
• Excellent written and oral communication skills.
• Knowledge of Python, Fortan, C, MPI, OpenMP, and other parallel programming models.
• Experience in programming GPU-accelerated architectures.
• Experience with HPC application profiling/optimization methodologies.
• Experience with HPC application debugging techniques and tools.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computational Project Scientist
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr) has an opening for a Computational Project Scientist to join the team.
In this exciting role, you will work on the development of RandLAPACK, which aims to develop high-quality libraries for linear algebra problems that incorporate randomized algorithms from the area of Randomized Numerical Linear Algebra (RandNLA). RandNLA algorithms are scalable and highly modular. Their scalability makes them of interest to HPC users in general, and their modularity makes them of interest to NERSC and LBNL since they can be optimized for different hardware and problem data. The position will involve the development of RandLAPACK in an object oriented programming (OOP) style so that users can leverage the modularity inherent to RandNLA algorithms.
In this exciting role, you will work on the development of RandLAPACK, which aims to develop high-quality libraries for linear algebra problems that incorporate randomized algorithms from the area of Randomized Numerical Linear Algebra (RandNLA). RandNLA algorithms are scalable and highly modular. Their scalability makes them of interest to HPC users in general, and their modularity makes them of interest to NERSC and LBNL since they can be optimized for different hardware and problem data. The position will involve the development of RandLAPACK in an object oriented programming (OOP) style so that users can leverage the modularity inherent to RandNLA algorithms.
RequirementsWhat is Required:
• Advanced degree in Computer Science or Applied Mathematics, or equivalent combination of skills and experience.
• Experience beyond an advanced degree in applied mathematics, computer science, software development, data science or closely related discipline.
• Experience and a strong interest in scientific software development or research software engineering.
• Experience using object oriented programming for data analysis.
• Demonstrated record of scientific excellence through publications, talks, talks, or software deliverables.
• Ability to work collaboratively with a diverse team of scientists and engineers.
• Experience contributing to a scientific software project in a team environment, which might include co-developing an internal project or contributing to community-based open source software
• Experience in developing new numerical algorithms for optimization, linear algebra, data analysis, statistical models.
• Demonstrated expertise at successfully working in multidisciplinary teams. In particular, demonstrated expertise in coordinating software development teams.
• Experience with Python, MATLAB, Java, C#, SQL, C, Mathematica, Git, Mercurial, Vim, PyCharm, VisualStudio, TravisCI, AppVeyor, Sphinx, Anaconda (ecosystem).
• Ability to interact with a variety of technical and scientific personnel including Research Associates, Scientists and Software Engineers with varied academic backgrounds.
• Strong written and verbal communication skills to present and disseminate scientific software developments at group meetings and conferences.
Desired Qualifications:
• Experience in numerical analysis, numerical linear algebra, and numerical optimization.
• Contributions to open-source scientific software projects.
• Experience creating data analysis methods and procedures.
• Demonstrated record in collaborative software development.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Senior Full Stack Software Engineer (Remote Friendly)
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL) Scientific Networking Division has an opening for a Senior Full Stack Software Engineer (Remote Friendly) to join the team.
In this exciting role, you will join ESnet on the Measurement and Analysis team. The Measurement and Analysis Team is a small group of engineers that provide innovative network measurement and analysis services used to ensure effective science data movement between DOE and partner facilities across the globe. In this role, developers create and operate robust mission critical solutions involving the collection, processing, storage and presentation of network measurements and event data using open source and cloud native technologies. These solutions are used to inform the design and operation of the Energy Sciences Network (ESnet) and more broadly to serve the needs of the Department of Energy.
In this exciting role, you will join ESnet on the Measurement and Analysis team. The Measurement and Analysis Team is a small group of engineers that provide innovative network measurement and analysis services used to ensure effective science data movement between DOE and partner facilities across the globe. In this role, developers create and operate robust mission critical solutions involving the collection, processing, storage and presentation of network measurements and event data using open source and cloud native technologies. These solutions are used to inform the design and operation of the Energy Sciences Network (ESnet) and more broadly to serve the needs of the Department of Energy.
RequirementsWhat is Required:
• A minimum of 8 years of related experience with a Bachelor’s degree in Computer Science or related technical field; or 6 years and a Master’s degree; or equivalent practical experience.
• Demonstrated ability to work in a collaborative team context.
• Demonstrated software development experience targeting Linux / Unix platforms involving:
◦ code contributions in Python and/or Javascript
◦ design of systems, interfaces, and data models
◦ scalable distributed systems and or web applications
• Demonstrated technical and or nontechnical leadership experience.
• Ability to develop in a linux environment using Python and Javascript.
• Understanding of data structures and algorithms.
• Familiarity with web APIs such as SOAP and REST.
• Strong analysis and troubleshooting skills.
• Excellent written and verbal communication skills.
• Demonstrated ability to write clear and accurate requirements, use cases, designs and documentation.
• Ability to lead large interdisciplinary teams.
Desired Qualifications:
• 12 years of relevant work in areas of software development and/or network services.
• Experience developing network telemetry/ observability systems.
• Demonstrated experience in any of the following areas:
◦ architecting software solutions
◦ developing multi-tenant services
◦ staff supervision and mentoring
◦ participation in multi-institutional collaborations
◦ product and or project management
• Experience with the following technologies:
◦ Google Cloud Platform, Kubernetes
◦ React, Swagger, d3.js
◦ Postgres, Elasticsearch, Logstash, Grafana, Kafka
◦ Java, Go, C/C++
• Familiarity and experience with Agile software engineering practices that include testing, documentation, source code management (ideally Git and Github) and release procedures.
• Knowledge of Internet networking and protocols.
• Knowledge of containers and Kubernetes.
• Solid understanding of network engineering concepts and protocols.
• Solid understanding of security concepts such as zero trust architectures and federated identity.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr) has an opening for a Postdoctoral Scholar to join the team.
In this exciting role, you will conduct fundamental and applied research in sparse computations related to matrices, graphs, hypergraphs, simplicial complexes, and tensors. You will be part of Sparsitute: A Mathematical Institute for Sparse Computations in Science and Engineering. Sparsitute is supported for 5 years by the Department of Energy as a Mathematical Multifaceted Integrated Capability Center (MMICC). Sparsitute is a collaboration between LBNL, ORNL, Purdue University, University of Illinois at Urbana-Champaign, Indiana University, and Wake Forest University. The postdoctoral fellow will be hosted at LBNL but will get a chance to collaborate closely and network with all the PIs and personnel in these 6 institutions.
In this exciting role, you will conduct fundamental and applied research in sparse computations related to matrices, graphs, hypergraphs, simplicial complexes, and tensors. You will be part of Sparsitute: A Mathematical Institute for Sparse Computations in Science and Engineering. Sparsitute is supported for 5 years by the Department of Energy as a Mathematical Multifaceted Integrated Capability Center (MMICC). Sparsitute is a collaboration between LBNL, ORNL, Purdue University, University of Illinois at Urbana-Champaign, Indiana University, and Wake Forest University. The postdoctoral fellow will be hosted at LBNL but will get a chance to collaborate closely and network with all the PIs and personnel in these 6 institutions.
RequirementsWhat is Required:
• PhD degree, within the last 3 years, in Computer Science, Computational Sciences, Applied Mathematics, or a related technical field.
• Proficiency in C++, as well as one or more of the parallel libraries/languages: MPI, OpenMP, CUDA, SYCL.
• Ability to design and implement parallel algorithms for parallel computing, graph algorithms, sparse matrix computations, computational topology, and geometric learning.
• Ability to publish in top journals and conferences.
• Ability to conduct research in a highly collaborative environment.
• Excellent verbal and written communication skills.
Desired Qualifications:
• Software engineering tools: make, cmake, revision control systems (such as git).
• One or more of the popular scripting languages such as Python, Julia, or R
• Familiarity with sparsification techniques, such as sampling, sketching, etc.
• Working experience with sparse data structures.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Postdoctoral Researcher
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionIn this exciting role, you will be part of Berkeley Lab’s (LBNL) Scalable Solvers Group in the Computing Research Division, developing high performance computing (HPC), structure preserving (SP), particle-in-cell (PIC), methods for kinetic models in PETSc (Portable, Extensible, Toolkit for Scientific computing). Kinetic models (up to 6D) are some of the most demanding tasks in Scientific Computing and new classes of Structure Preserving (SP) models and discretizations offer opportunities for unprecedented levels of accuracy and efficiency for use in modern large-scale, high-performance hardware. The postdoc will work with members of the PETSc team on developing and deploying these methods in the PETSc library, developing a global SP model for the Vlasov-Maxwell-Landau (VML) system for use in algorithmic research in fusion energy science as well as the closely related Vlasov-Poisson-Landau system for astrophysics applications.
RequirementsWhat is Required:
• Requires a Ph.D. in Computational Science, Software Engineering, Applied Physics, Physics, Astronomy, or related fields.
• HPC programming experience in, for example, PETSc, Kokkos/CUDA/HIP/SYCL, MPI.
• Ability to communicate effectively, and to contribute to a large software project.
• Demonstrated ability to prepare research results for publication and presentation at seminars and scientific meetings.
Desired Qualifications:
• Experience with PETSc.
• Experience with high-performance computing systems and software optimization with modern devices.
• Experience with plasma physics, finite element methods, mesh generation, solvers and/or particle methods.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Architecture and Performance Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionHPC Architecture and Performance Engineer - 95713
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for a HPC Architecture and Performance Engineer (Remote Friendly) to join the team.
The purpose of the position is to contribute to an on-going ATG group effort to develop a complete understanding of the issues that lead to improved application and computer system performance on extreme-scale advanced architectures. In this exciting role, you will contribute to efforts for NERSC in evaluating existing and emerging High Performance Computing (HPC) systems by analyzing the performance characteristics of leading-edge DOE Office of Science application codes. This position requires knowledge of computer architecture & technology trends and their implications for NERSC users.
What You Will Do:
• Assess emerging technologies in architecture, algorithms, parallel programming paradigms and languages to provide input for HPC system procurements and DOE technology roadmaps.
• Evaluate hardware and software technologies in emerging areas, such as cloud computing and AI, for their potential to be applied to HPC.
• Work with vendors to prioritize, develop and enhance their technologies in order to better meet the needs of DOE Office of Science application codes and workflows.
• Measure and understand the performance and scalability of key scientific applications or workflows that comprise NERSC's evolving workload on current and future high-performance computing (HPC) and data intensive platforms.
• Develop techniques to assess the needs of the DOE workload in aggregate. Work to understand potential trade-offs and to match specific technologies to specific classes of applications as needed.
• Prepare timely reports, papers, and lectures describing significant results for dissemination within NERSC and throughout the broader HPC research community.
• Contribute performance-related expertise to cross-team NERSC activities that may involve application performance tuning, workflow optimization, interconnects, storage I/O, and/or data analysis functions.
• Participate in extrapolation of technology trends over the next decade of HPC platforms.
• Participate in the NERSC selection process for acquisition of next-generation HPC systems.
• Take a lead role in one or more of the activities described above.
Additional Responsibilities as needed:
• Provide technical conceptual guidance to other group members and management, suggest directions for investigation, create new opportunities for NERSC, serve as a principal collaborator on major projects, and be responsible for fostering broader community-wide efforts with organizations outside of NERSC and Berkeley Lab.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243100 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for a HPC Architecture and Performance Engineer (Remote Friendly) to join the team.
The purpose of the position is to contribute to an on-going ATG group effort to develop a complete understanding of the issues that lead to improved application and computer system performance on extreme-scale advanced architectures. In this exciting role, you will contribute to efforts for NERSC in evaluating existing and emerging High Performance Computing (HPC) systems by analyzing the performance characteristics of leading-edge DOE Office of Science application codes. This position requires knowledge of computer architecture & technology trends and their implications for NERSC users.
What You Will Do:
• Assess emerging technologies in architecture, algorithms, parallel programming paradigms and languages to provide input for HPC system procurements and DOE technology roadmaps.
• Evaluate hardware and software technologies in emerging areas, such as cloud computing and AI, for their potential to be applied to HPC.
• Work with vendors to prioritize, develop and enhance their technologies in order to better meet the needs of DOE Office of Science application codes and workflows.
• Measure and understand the performance and scalability of key scientific applications or workflows that comprise NERSC's evolving workload on current and future high-performance computing (HPC) and data intensive platforms.
• Develop techniques to assess the needs of the DOE workload in aggregate. Work to understand potential trade-offs and to match specific technologies to specific classes of applications as needed.
• Prepare timely reports, papers, and lectures describing significant results for dissemination within NERSC and throughout the broader HPC research community.
• Contribute performance-related expertise to cross-team NERSC activities that may involve application performance tuning, workflow optimization, interconnects, storage I/O, and/or data analysis functions.
• Participate in extrapolation of technology trends over the next decade of HPC platforms.
• Participate in the NERSC selection process for acquisition of next-generation HPC systems.
• Take a lead role in one or more of the activities described above.
Additional Responsibilities as needed:
• Provide technical conceptual guidance to other group members and management, suggest directions for investigation, create new opportunities for NERSC, serve as a principal collaborator on major projects, and be responsible for fostering broader community-wide efforts with organizations outside of NERSC and Berkeley Lab.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243100 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• Bachelor of Science degree in Computer Science, Computational Science, Computer Architecture, Physical or Biological sciences or equivalent experience and a minimum of eight years’ experience in HPC.
• Experience in benchmarking, code instrumentation, and performance analysis of parallel applications & workflows with emphasis on emerging architectures. Experience with performance profiling tools, hardware performance counters and/or code instrumentation systems.
• Proven record of working effectively in a team, seeing projects through to completion, meeting deadlines, interacting with users, and thorough documentation of contributions.
• Experience with computer architecture trends and their application to High Performance Computing (HPC).
• Detailed understanding of state-of-the-art tools used to program, profile, and debug parallel scientific applications & workflows. (Such as MPI, PGAS, OpenMP, and hybrid-parallel codes using C, C++, Python, and Fortran code.)
• A demonstrated ability to lead technical efforts in a team environment.
• Demonstrated track record of research and technical publications. Ability to write and present technical papers at conferences and other venues to disseminate research work.
• Excellent written and oral communication skills.
Desired Qualifications:
• Bachelor of Science degree in Computer Science, Computational Science, Computer Architecture or equivalent experience and a minimum of twelve years’ experience in hardware and/or software development for HPC systems and/or technologies.
• Nationally and or internationally recognized expertise in an HPC related discipline.
• Experience with hardware and software technologies in emerging areas, such as cloud computing and AI, and their application to HPC.
• Demonstrated a detailed understanding of HPC computer architecture technologies including CPU, memory, interconnect, parallel I/O and/or networking.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Quantum Algorithms Postdoctoral Fellows
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/) has an opening in the Scalable Solvers Group for a Postdoc in the area of Applied Mathematics with an emphasis on Quantum Computing. In this exciting role, you will participate in research activities related to the development of mathematical tools for quantum subspace algorithms that are relevant to DOE and LBNL missions.
RequirementsWhat is Required:
• Ph.D. degree in Mathematics, Computer Science, Physics, or a relevant field.
• Strong background in numerical linear algebra and multi-linear (tensor) algebra.
• Knowledge of matrix decompositions, iterative methods, approximation theory, and optimization.
• Demonstrated experience to program proficiently in a high-level programming language, such as C++/C/FORTRAN.
• Excellent verbal and written communication skills.
Desired Qualifications:
• Knowledge of quantum computing and quantum information.
• Knowledge of performance optimization for scientific codes is a plus.
• Experience with MATLAB/Python/Qiskit and MPI/OpenMP/Cuda.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC System
·
Sandia National Lab
·
albuqueque
Hide Details
SessionJob Postings
DescriptionThe Computer Science Research Institute (CSRI) at Sandia is seeking talented computer scientists to help shape the future of extreme-scale scientific computing systems. Driven by more complex workloads and the recent emergence of AI/ML techniques, future high-performance computing (HPC) systems will likely employ more technologies and approaches from hyper scalar data centers and cloud computing. There are currently opportunities to join an energetic and highly talented team in several research areas, including operating and runtime systems, parallel programming models and systems, high-performance networking (MPI, SHMEM, RDMA), virtualization (virtual machines, containers), application development environment tools (compilers, performance analysis), scientific data management, and hardware/software co-design. Sandia has a rich tradition of contributing fundamental advancements to the field of high-performance computing. Several of our innovations are visible in today's largest and most powerful scientific computing systems, and our team is continuing to direct and shape the future. Join us in attacking some of the most challenging problems in scientific computing.
RequirementsQUALIFICATIONS WE REQUIRE:
Master’s degree in computer science, computer engineering, electrical engineering or related field
Programming skills (C, C++, others)
Experience with modern software development tools
Experience with high performance computing systems
Experience with parallel or concurrent programming techniques
QUALIFICATIONS WE DESIRE:
Experience developing operating system and/or device-level software
Experience programming parallel computing systems using MPI or OpenMP
Experience with MPI implementation internals
Experience with parallel I/O and filesystems
Experience with system software for multi-threaded systems
Experience with system software for accelerator-based (GPU, FPGA, etc.) systems
Experience in resilience strategies for high-performance computing systems
Company DescriptionSandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov*These benefits vary by job classification.
·
·
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Storage Systems Developer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionHPC Storage Systems Developer - 97195
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for a HPC Storage Systems Developer to join the team.
NERSC is looking for a skilled systems programmer to help develop innovative software features for extreme-scale storage systems. In this position, you will join the Storage Systems Group which is made up of system engineers and programmers providing NERSC’s 300 petabyte High Performance Storage System and center-wide file systems. Our storage systems are utilized by more than 8,000 scientists who use NERSC to perform unclassified, scientific research across a wide range of disciplines, including climate modeling, research into new materials, simulations of the early universe, high energy physics and a host of other scientific endeavors. The majority of your time will be spent developing, testing and deploying storage systems software, tools and scripts, but you should be flexible and willing to take on troubleshooting and system administration tasks in support of our production environment.
In this exciting role, you will work with a team of software engineers who develop the High Performance Storage System (HPSS) and supporting software. HPSS is a premier high-performance archive software and is deployed at some of the world’s largest computing centers to meet the most challenging long-term and scalable-storage requirements. Jointly developed by five Department of Energy labs and IBM, you will collaborate daily with this geographically distributed team, taking on a variety of development tasks. The storage applications and features you create will become part of our production storage systems, and will be used by HPSS sites around the globe, including our production storage systems at NERSC. In addition to working on HPSS releases, you will also assist with supporting the production version of the software and its local applications at NERSC.
In addition to working on HPSS, you will help evaluate and shape new storage technologies to meet the evolving needs of NERSC’s high-performance computing users, and work on local development projects to improve the storage resources we offer. This includes exploration of object-based storage systems, advanced high-performance data transfer tools, implementation improvements for automated data migration between file systems and the archive, and evaluation of storage software built using new storage hardware technologies.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242922 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for a HPC Storage Systems Developer to join the team.
NERSC is looking for a skilled systems programmer to help develop innovative software features for extreme-scale storage systems. In this position, you will join the Storage Systems Group which is made up of system engineers and programmers providing NERSC’s 300 petabyte High Performance Storage System and center-wide file systems. Our storage systems are utilized by more than 8,000 scientists who use NERSC to perform unclassified, scientific research across a wide range of disciplines, including climate modeling, research into new materials, simulations of the early universe, high energy physics and a host of other scientific endeavors. The majority of your time will be spent developing, testing and deploying storage systems software, tools and scripts, but you should be flexible and willing to take on troubleshooting and system administration tasks in support of our production environment.
In this exciting role, you will work with a team of software engineers who develop the High Performance Storage System (HPSS) and supporting software. HPSS is a premier high-performance archive software and is deployed at some of the world’s largest computing centers to meet the most challenging long-term and scalable-storage requirements. Jointly developed by five Department of Energy labs and IBM, you will collaborate daily with this geographically distributed team, taking on a variety of development tasks. The storage applications and features you create will become part of our production storage systems, and will be used by HPSS sites around the globe, including our production storage systems at NERSC. In addition to working on HPSS releases, you will also assist with supporting the production version of the software and its local applications at NERSC.
In addition to working on HPSS, you will help evaluate and shape new storage technologies to meet the evolving needs of NERSC’s high-performance computing users, and work on local development projects to improve the storage resources we offer. This includes exploration of object-based storage systems, advanced high-performance data transfer tools, implementation improvements for automated data migration between file systems and the archive, and evaluation of storage software built using new storage hardware technologies.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242922 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat You Will Do:
• Participate as a software developer in the HPSS collaboration.
• Assist with keeping the HPSS software and tools available and working well for users.
• Work independently or with the team to diagnose and fix production system problems, analyze system issues, and develop workarounds and/or patches for software bugs.
• Collaborate with other groups on efforts to improve data management and movement.
• Define and lead team-oriented agile development and management processes.
• Design and implement new software features.
• Support, maintain, and upgrade code and patches.
• Provide software support and assistance to system administrators on the team.
• Improve automated build, test, and deployment portions of the software lifecycle.
• Iteratively design, code, review, and debug as part of a collaborative development process.
• Write or maintain architecture, design, and user documentation.
• Present your work and represent NERSC at conferences and meetings.
• Help drive software requirements, ensuring that NERSC needs are represented.
• Provide leadership and technical guidance to group members and members of other groups at NERSC.
• Develop documentation such as LBNL technical reports and design documents.
• Influence and introduce new technologies or functionality.
• Represent NERSC and NERSC’s interests in the HPSS community.
• Present your work and represent NERSC at conferences and meetings.
What is Required:
• Bachelor of Science degree in Computer Science, Computer Engineering or equivalent experience and a minimum of 8 years of software development experience in a UNIX or Linux environment.
• Strong C/C++ skills and python/shell programming skills.
• Demonstrated expertise with data structures used in a typical Unix filesystem.
• Systems programming in a Unix environment.
• Experience with multi-threaded programming.
• Ability to resolve complex issues in creative and effective ways.
• Ability to network and collaborate with key contacts outside their own area of expertise.
• Excellent oral and written communication skills.
• Demonstrated ability to work effectively as part of a cross-disciplinary team.
Desired Qualifications:
• Experience with cloud technologies and computing.
• Experience with microservices development and deployment.
• Prior work administering or developing HPSS or other production grade hierarchical storage or file system.
• Experience writing high performance data transfer applications.
• Experience with tape storage hardware and software.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Sr. Systems Engineer-EXAScaler
·
DataDirect Networks
·
Remote
Hide Details
SessionJob Postings
DescriptionDDN is seeking an experienced High-Performance Computing (HPC) Systems Engineer to
join its EXAScaler Storage Systems team. You are a results-oriented professional with
experience in all parts of complex project execution from initial requirements gathering,
developing functional & design specifications, proof of concept exploration,
implementation of production-ready code, and working with test engineers to validate the
solution.
join its EXAScaler Storage Systems team. You are a results-oriented professional with
experience in all parts of complex project execution from initial requirements gathering,
developing functional & design specifications, proof of concept exploration,
implementation of production-ready code, and working with test engineers to validate the
solution.
RequirementsPreferred Qualifications
10+ years experience
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or
equivalent
Knowledge of x86/x64 and GPU system architectures
Experience with high-availability storage systems architectures, particularly based on Lustre and/or GPFS
Experience with Linux/Unix operating systems
Programming experience with C and Python; experience with Rust is a bonus
Experience with high-speed network interconnects, particularly InfiniBand and Ethernet/
RoCE
Experience using tools such as Grafana and Nagios to monitor systems, metrics, and
create dashboards
Company DescriptionDataDirect Networks (DDN.com) is the world’s largest privately held data storage company. We are the leading provider of data storage and computer technologies, solutions and services that enable content-rich and high-scalability IT environments to create and deliver value from their information. Our customers include many of the world’s leading online content and social networking providers, high performance cloud and grid computing environments, life sciences, professional media and security and intelligence organizations. Deployed in thousands of mission critical environments worldwide, DDN solutions are the business-enabling backbone to today’s complex IT infrastructures.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Full Stack Software Engineer (Remote Friendly)
·
Lawrence Berkeley National Laboratory
·
Remote
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Laboratory (LBNL) Scientific Networking Division has an immediate opening for a Full Stack, automation oriented, Software Engineer to join Energy Sciences Network (ESnet) on the Orchestration and Core Data team. The Orchestration and Core Data team is a small group of engineers that provide innovative network management solutions designed to orchestrate and automate service deployment, device management and ongoing operations of the ESnet network. In this role, developers create and operate robust mission critical solutions involving automated network provisioning, built with a combination of open source and internally developed software frameworks. These solutions are used to inform the design and operation of the ESnet and more broadly to serve the needs of the Department of Energy.
RequirementsWhat is Required:
• A minimum of 5 years of related experience with a Bachelor’s degree in Computer Science or related technical field; or 3 years and a Master’s degree; or equivalent practical experience.
• Demonstrated ability to work in a collaborative team context.
• Demonstrated software development experience targeting Linux / Unix platforms involving:
◦ code contributions in Python and/or Javascript
◦ design of systems, interfaces, and data models
◦ scalable distributed systems and/or web applications
• Ability to develop in a Linux environment using Python and Javascript.
• Understanding of data structures and algorithms.
• Familiarity with web APIs such as SOAP and REST.
• Strong analysis and troubleshooting skills.
• Excellent written and verbal communication skills.
• Demonstrated ability to write clear and accurate requirements, use cases, designs and documentation.
• Ability to operate in interdisciplinary teams.
Desired Qualifications:
• 8 years of relevant work in areas of software development and/or network services.
• Experience developing automated deployment systems / network management software.
• Demonstrated technical and or nontechnical leadership experience.
• Demonstrated experience in any of the following areas:
◦ architecting software solutions
◦ developing multi-tenant services
◦ staff supervision and mentoring
◦ participation in multi-institutional collaborations
◦ product and or project management
• Experience with the following technologies and languages:
◦ Django, Django REST framework
◦ SQLAlchemy, FastAPI
◦ ReactJS, NodeJS
◦ Postgres, Kafka, Kubernetes
◦ Python, Java, Javascript, Go
• Familiarity and experience with Agile/Scrum software engineering practices that include testing, documentation, source code management (ideally Git and Github) and release procedures.
• Knowledge of Internet networking and protocols.
• Knowledge of containers and Kubernetes.
• Solid understanding of network engineering concepts and protocols.
• Solid understanding of security concepts such as zero trust architectures and federated identity.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
NESAP for Simulations Postdoctoral Fellow
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionNESAP for Simulations Postdoctoral Fellow - 95146
Division: NE-NERSC
The National Energy Research Scientific Computing Center (NERSC, http://www.nersc.gov/about/) at Berkeley Lab seeks highly motivated postdocs to join the NERSC Exascale Science Application Program (NESAP, https://www.nersc.gov/users/application-performance/nesap/). NESAP postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy Office of Science.
The Challenge: Enabling simulation of complex physical systems, advanced data analytics, and machine learning at scale on energy-efficient supercomputers. Successful candidates will join different teams to focus on one of the following frontiers:
NESAP for Simulations (N4S): Cutting-edge simulation of complex physical phenomena requires increasing amounts of computational resources due to factors such increasing model sizes, parameter space searches, and inclusion of additional physics. N4S enables simulations to make effective use of modern high-performance computing (HPC) platforms by focusing on algorithm and data structure development and implementation on new architectures such as GPUs, exposing additional parallelism and improving scalability.
To enable new discoveries through simulation, data analytics, and ML/DL, NERSC will begin deploying “Perlmutter,” a Cray supercomputer, in 2020. Perlmutter, a system optimized for science, is a heterogeneous system including future-generation AMD CPUs and next-generation NVIDIA GPUs. It also has a high-speed interconnect and an all-flash file system.
Perlmutter is NERSC’s first production GPU-based system. Many codes running at NERSC need to be adapted or optimized to run efficiently on GPUs. At the same time, solutions that put GPU performance in users’ hands need to be portable ones. NESAP is about employing cutting-edge computer science and advanced performance analysis tools to develop highly scalable, distributed parallel algorithms to meet this challenge.
In this exciting role, you will be a part of a multidisciplinary team composed of computational and domain scientists working together to transition and optimize codes to the Perlmutter system and produce mission-relevant science that pushes the limits of HPC. You will carry out code transition efforts in collaboration with a project PI and team members with the support of NERSC and vendor staff. Successful candidates are expected to collaborate with each other across NESAP program areas (N4S, N4D, N4L).
NESAP has established a track record of enabling its postdocs to pursue careers in data science, HPC, and scientific computing both in industry and at national labs. Take a look at what current and former NESAP postdocs are up to here.
What You Will Do:
• Work with NERSC staff and code teams to transition and optimize simulation, data analytics, or machine learning codes for the Perlmutter system in performance-portable ways.
• Conduct profiling and scaling studies as well as parallelization, memory bandwidth, and I/O analyses for these codes; identify and capitalize on NERSC’s combined HPC/data ecosystems.
• Working with domain experts, develop, adapt, and optimize state-of-the-art ML/DL models to solve scientific problems on HPC systems.
• Disseminate results of research activities through refereed publications, reports, and conference presentations. Ensure that new methods are documented for the broader community, NERSC staff, vendors, and NERSC users.
• Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged.
• Opportunities to travel to sites at other labs, universities, and to vendor facilities.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time 2 year postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243104 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: NE-NERSC
The National Energy Research Scientific Computing Center (NERSC, http://www.nersc.gov/about/) at Berkeley Lab seeks highly motivated postdocs to join the NERSC Exascale Science Application Program (NESAP, https://www.nersc.gov/users/application-performance/nesap/). NESAP postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy Office of Science.
The Challenge: Enabling simulation of complex physical systems, advanced data analytics, and machine learning at scale on energy-efficient supercomputers. Successful candidates will join different teams to focus on one of the following frontiers:
NESAP for Simulations (N4S): Cutting-edge simulation of complex physical phenomena requires increasing amounts of computational resources due to factors such increasing model sizes, parameter space searches, and inclusion of additional physics. N4S enables simulations to make effective use of modern high-performance computing (HPC) platforms by focusing on algorithm and data structure development and implementation on new architectures such as GPUs, exposing additional parallelism and improving scalability.
To enable new discoveries through simulation, data analytics, and ML/DL, NERSC will begin deploying “Perlmutter,” a Cray supercomputer, in 2020. Perlmutter, a system optimized for science, is a heterogeneous system including future-generation AMD CPUs and next-generation NVIDIA GPUs. It also has a high-speed interconnect and an all-flash file system.
Perlmutter is NERSC’s first production GPU-based system. Many codes running at NERSC need to be adapted or optimized to run efficiently on GPUs. At the same time, solutions that put GPU performance in users’ hands need to be portable ones. NESAP is about employing cutting-edge computer science and advanced performance analysis tools to develop highly scalable, distributed parallel algorithms to meet this challenge.
In this exciting role, you will be a part of a multidisciplinary team composed of computational and domain scientists working together to transition and optimize codes to the Perlmutter system and produce mission-relevant science that pushes the limits of HPC. You will carry out code transition efforts in collaboration with a project PI and team members with the support of NERSC and vendor staff. Successful candidates are expected to collaborate with each other across NESAP program areas (N4S, N4D, N4L).
NESAP has established a track record of enabling its postdocs to pursue careers in data science, HPC, and scientific computing both in industry and at national labs. Take a look at what current and former NESAP postdocs are up to here.
What You Will Do:
• Work with NERSC staff and code teams to transition and optimize simulation, data analytics, or machine learning codes for the Perlmutter system in performance-portable ways.
• Conduct profiling and scaling studies as well as parallelization, memory bandwidth, and I/O analyses for these codes; identify and capitalize on NERSC’s combined HPC/data ecosystems.
• Working with domain experts, develop, adapt, and optimize state-of-the-art ML/DL models to solve scientific problems on HPC systems.
• Disseminate results of research activities through refereed publications, reports, and conference presentations. Ensure that new methods are documented for the broader community, NERSC staff, vendors, and NERSC users.
• Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged.
• Opportunities to travel to sites at other labs, universities, and to vendor facilities.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time 2 year postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243104 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• Ph.D. in Computational Science, Data Science, Computer Science, Applied Mathematics, or a science domain area with a computationally-oriented research focus.
• Research experience and knowledge in computing and/or code development for experimental science or HPC.
• Experience in scientific computing, algorithms design, or applied mathematics.
• Demonstrably effective communication and interpersonal skills.
• Ability to work productively both independently and as part of an interdisciplinary team balancing objectives involving research and code development.
• Experience with GPU and parallel/manycore computer architectures, threading, and vectorization.
• Experience with numerical linear algebra, particle methods, grid methods.
• Experience with C, C++, Fortran, MPI, threading, and data structure transformations.
Desired Qualifications:
• Experience with the development and performance optimization of scientific software in the HPC context.
• Publication record or contributions to open-source software projects commensurate with years of experience.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Simulation Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division has an opening for an HPC Simulation Engineer to join the team.
In this exciting role, you will help conduct fundamental and applied research in parallel discrete event simulation, load balancing, task scheduling, and reversible computation.
In this exciting role, you will help conduct fundamental and applied research in parallel discrete event simulation, load balancing, task scheduling, and reversible computation.
RequirementsWhat is Required:
• BS or MS degree (or equivalent) in Computer Science, Computer Engineering or a related technical field.
• At least 2 years of experience developing software in C++ for parallel computing environments.
• Proficiency in modern C++ (C++11 or later).
• Experience with parallel application performance analysis and optimization.
• Familiarity with performance optimization libraries, tools, and techniques.
• Familiarity with task-based or discrete event programming models.
• Familiarity with software engineering tools such as make and git.
• Ability to reason about the correctness and performance of asynchronous, parallel programs.
• Excellent verbal and written communication skills.
• Ability to troubleshoot and solve problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
• Demonstrated ability to work effectively as part of a cross-disciplinary team.
Desired Qualifications:
• BS or MS degree (or equivalent) in Computer Science, Computer Engineering or a related technical field and 5 years of experience developing software in C++ for parallel computing environments.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Machine Learning Postdoctoral Fellow
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionMachine Learning Postdoctoral Fellow - 94786
Division: NE-NERSC
The National Energy Research Scientific Computing Center (NERSC, https://www.nersc.gov/about/) at Berkeley Lab seeks highly motivated Machine Learning Postdoctoral Fellows to join the NERSC Exascale Science Application Program (NESAP, https://www.nersc.gov/users/application-performance/nesap/). NESAP postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy Office of Science (https://science.energy.gov/).
The Challenge: Enabling machine learning at scale on energy-efficient supercomputers.
NESAP for Learning (N4L): Machine Learning (ML) and Deep Learning (DL) are powerful approaches to solving complicated classification, regression, and pattern recognition problems. N4L focuses on developing and implementing cutting-edge ML/DL solutions to improve scientific discovery potential on experimental or simulation data or improving HPC applications by replacing parts of the software stack or algorithms with ML/DL solutions.
To enable new discoveries through simulation, data analytics, and ML/DL, NERSC began deploying “Perlmutter,” a Cray supercomputer, in 2021. Perlmutter, a system optimized for science, is a heterogeneous system including current-generation AMD CPUs and NVIDIA GPUs. It also has a high-speed interconnect and an all-flash file system.
As a NESAP Fellow, you will be a part of a multidisciplinary team composed of computational and domain scientists working together to develop machine learning approaches that run on the Perlmutter system and produce mission-relevant science that pushes the limits of HPC. You will carry out these efforts in collaboration with a project PI and team members, with the support of NERSC and vendor staff.
NESAP has established a track record of enabling its postdocs to pursue careers in data science, HPC, and scientific computing both in industry and at national labs.
What You Will Do:
• Working with domain experts and NERSC staff, develop, adapt, and optimize state-of-the-art ML/DL models to solve scientific problems on HPC systems.
• Disseminate results of research activities through refereed publications, reports, and conference presentations. Ensure that new methods are documented for the broader community, NERSC staff, vendors, and NERSC users.
• Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, 2 years, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• There are multiple openings for this position.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243105 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: NE-NERSC
The National Energy Research Scientific Computing Center (NERSC, https://www.nersc.gov/about/) at Berkeley Lab seeks highly motivated Machine Learning Postdoctoral Fellows to join the NERSC Exascale Science Application Program (NESAP, https://www.nersc.gov/users/application-performance/nesap/). NESAP postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy Office of Science (https://science.energy.gov/).
The Challenge: Enabling machine learning at scale on energy-efficient supercomputers.
NESAP for Learning (N4L): Machine Learning (ML) and Deep Learning (DL) are powerful approaches to solving complicated classification, regression, and pattern recognition problems. N4L focuses on developing and implementing cutting-edge ML/DL solutions to improve scientific discovery potential on experimental or simulation data or improving HPC applications by replacing parts of the software stack or algorithms with ML/DL solutions.
To enable new discoveries through simulation, data analytics, and ML/DL, NERSC began deploying “Perlmutter,” a Cray supercomputer, in 2021. Perlmutter, a system optimized for science, is a heterogeneous system including current-generation AMD CPUs and NVIDIA GPUs. It also has a high-speed interconnect and an all-flash file system.
As a NESAP Fellow, you will be a part of a multidisciplinary team composed of computational and domain scientists working together to develop machine learning approaches that run on the Perlmutter system and produce mission-relevant science that pushes the limits of HPC. You will carry out these efforts in collaboration with a project PI and team members, with the support of NERSC and vendor staff.
NESAP has established a track record of enabling its postdocs to pursue careers in data science, HPC, and scientific computing both in industry and at national labs.
What You Will Do:
• Working with domain experts and NERSC staff, develop, adapt, and optimize state-of-the-art ML/DL models to solve scientific problems on HPC systems.
• Disseminate results of research activities through refereed publications, reports, and conference presentations. Ensure that new methods are documented for the broader community, NERSC staff, vendors, and NERSC users.
• Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, 2 years, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• There are multiple openings for this position.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243105 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• Ph.D. in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or another numerical science domain area.
• Research experience and knowledge in computing and/or code development for experimental science or HPC.
• Experience in building and training ML/DL models.
• Experience with machine learning/deep learning frameworks such as TensorFlow, PyTorch, scikit-learn.
• Demonstrably effective communication and interpersonal skills.
• Ability to work productively both independently and as part of an interdisciplinary team, balancing objectives involving research and code development.
Desired Qualifications:
• Publication record or contributions to open source software projects commensurate with years of experience.
• Experience or interest in distributed training of complex deep learning models on large scientific datasets.
• Experience in keeping abreast with new deep learning innovations in training algorithms and neural network architectures.
• Experience with the development and performance optimization of scientific software in the HPC context.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Systems Engineer
·
Sandia National Lab
·
albuqueque
Hide Details
SessionJob Postings
DescriptionDo you have a passion for developing web based applications with national security impact? Join our dynamic team as a Software Systems Engineer!
Candidates applying on this requisition may be interviewed and/or hired into one of several organizations at Sandia National Laboratories.
On any given day, you may be called on to:
Work on a team dedicated to building full stack developer skills with growth and advancement opportunities
Work on development teams that are dedicated to mentoring early career team members
This position is eligible for telecommuting and the selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.
Candidates applying on this requisition may be interviewed and/or hired into one of several organizations at Sandia National Laboratories.
On any given day, you may be called on to:
Work on a team dedicated to building full stack developer skills with growth and advancement opportunities
Work on development teams that are dedicated to mentoring early career team members
This position is eligible for telecommuting and the selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.
RequirementsA Bachelor’s degree in Computer Science, Computer Engineering, or another computer related field
Experience (academic or professional) with object-oriented software design and development
The ability to acquire and maintain a DOE Q-level security clearance
QUALIFICATIONS WE DESIRE:
Documented fundamental technical competencies in software engineering practices, including planning, designing, implementing, testing, deploying, or maintaining robust, highly available web-based applications
Experience with Java and Spring Boot
Experience with software engineering processes, tools, and design patterns
Familiarity with the following:
Building automation tools such as Jenkins, Maven and Gradle
Web-based application development with HTML5, JavaScript, and Angular, or React
DevOps/DevSecOps processes and technologies
Experience working on agile teams
Company DescriptionSandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov*These benefits vary by job classification.
·
·
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Quantum Computing Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/applied-mathematics-dept/) and the National Energy Research Scientific Computing Center (NERSC, https://www.nersc.gov/) have a joint opening for a Quantum Computing Postdoctoral Scholar to join the team.
In this exciting role, you will participate in an interdisciplinary quantum computing project. The project involves implementation of innovative FPGA-based features and programming to enable next generation quantum and hybrid quantum-classical algorithms on NISQ-era superconducting quantum computers. As a researcher with strong FPGA experience, you will work closely with researchers at NERSC and quantum computing experimentalists at the Advanced Quantum Testbed on co-design of algorithms and experimental systems.
In this exciting role, you will participate in an interdisciplinary quantum computing project. The project involves implementation of innovative FPGA-based features and programming to enable next generation quantum and hybrid quantum-classical algorithms on NISQ-era superconducting quantum computers. As a researcher with strong FPGA experience, you will work closely with researchers at NERSC and quantum computing experimentalists at the Advanced Quantum Testbed on co-design of algorithms and experimental systems.
RequirementsWhat is Required:
• Ph.D. in Electrical Engineering, Chemistry, Physics, Computer Science, or related fields.
• Demonstrated experience in FPGA programming and application to scientific experiments, preferably experience in using Xilinx series FPGA with the Verilog/SystemVerilog language.
• Interest in acquiring new skills in quantum computing, including quantum algorithms and benchmarking tools.
• Knowledge of complex systems debugging tools including network analyzer, oscilloscope, spectrum analyzer, chip scope etc.
• Excellent communication skills to facilitate interdisciplinary work with multiple collaborators and to represent the team's work at conferences.
Desired Qualifications:
• Experience with quantum algorithms and computing.
• Experience with high speed analog/digital electronics development.
• Experience in schematic capture, pcb layout and pcb board bring up.
• Prior experience with execution of quantum and hybrid algorithms (including VQE and other variational algorithms) on NISQ-era hardware is strongly desirable.
• Prior experience with ML and quantum machine learning.
• Experience with machine learning libraries such as TensorFlow, Keras, Scikit-learn, etc.
• Strong publication record.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Post-Moore Microelectronics/VLSI Co-Design Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionBerkeley Lab’s Applied math and Computational Sciences Division (https://crd.lbl.gov/) has an opening for a Postdoctoral Scholar to evaluate and develop devices to hardware/circuit co-design flow for architectural specializations for high performance computing and edge computing applications.
In the absence of Moore’s Law Scaling, the Department of Energy (DOE) must investigate alternative paths to continuing computing performance improvements for scientific applications through architectural specialization. The successful candidate will contribute to the development and evaluation of novel heterogeneous device-based circuit design for extreme heterogeneous SoC (System on Chip) designs, and evaluate their merit for emerging computational workloads for the purpose of maximizing performance and energy efficiency. This work will have
In the absence of Moore’s Law Scaling, the Department of Energy (DOE) must investigate alternative paths to continuing computing performance improvements for scientific applications through architectural specialization. The successful candidate will contribute to the development and evaluation of novel heterogeneous device-based circuit design for extreme heterogeneous SoC (System on Chip) designs, and evaluate their merit for emerging computational workloads for the purpose of maximizing performance and energy efficiency. This work will have
RequirementsWhat is Required:
• PhD or equivalent in a Computing Science or Computer Engineering related scientific discipline.
• Past experience in either Machine learning accelerators or SRAM array design or basic blocks of processor at transistor level.
• Courses or experience in CAD for VLSI algorithms and C++ Programming.
• Proficient in Spice Circuit Simulations, Verilog and hardware design in CMOS, FeFET, NCFET etc.
• Familiarity with hardware EDA/CAD tools and evaluation/modeling tools in order to extend existing infrastructure to rapidly evaluate CMOS designs.
• Demonstrated creativity, initiative and ability to design, develop and implement complex solutions in consultation with designated technical expert(s) and/or supervisor.
• Experience and track-record writing technical papers and reports.
• Experience with the use of script languages and system utilities such as configure, Perl, UNIX shell scripts, and “make.”
• Proven record of working effectively in a team, seeing projects through to completion, meeting deadlines, interacting with users, and thorough documentation of contributions.
• Willingness to learn and develop skills in new topics.
Desired Qualifications:
• Previous experience and publications in Processing-In-Memory and Logic-in-Memory architectures is highly desirable.
• Experience with coding in C++/python for CAD tool development for ASIC design.
• Experience with higher-level hardware design languages (HDLs) such as CHISEL, PyMTL, or others.
• Experience with FPGA design flows would also be beneficial.
• Demonstrated ability to lead technical efforts with teams of people will also be beneficial.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Full Stack Software Engineer (Remote Friendly)
·
Lawrence Berkeley National Laboratory
·
Remote
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Scientific Networking Division (https://www.lbl.gov/a_z_link/scientific-networking-division/) has an opening for a Full Stack Software Engineer (Remote Friendly) to join the team.
In this exciting role, you will join ESnet on the Measurement and Analysis team. The Measurement and Analysis Team is a small group of engineers that provide innovative network measurement and analysis services used to ensure effective science data movement between DOE and partner facilities across the globe. In this role, developers create and operate robust mission critical solutions involving the collection, processing, storage and presentation of network measurements and event data using open source and cloud native methodologies. These solutions are used to inform the design and operation of the Energy Sciences Network (ESnet) and more broadly to serve the needs of the Department of Energy.
In this exciting role, you will join ESnet on the Measurement and Analysis team. The Measurement and Analysis Team is a small group of engineers that provide innovative network measurement and analysis services used to ensure effective science data movement between DOE and partner facilities across the globe. In this role, developers create and operate robust mission critical solutions involving the collection, processing, storage and presentation of network measurements and event data using open source and cloud native methodologies. These solutions are used to inform the design and operation of the Energy Sciences Network (ESnet) and more broadly to serve the needs of the Department of Energy.
RequirementsWhat is Required:
• A minimum of 5 years of related experience with a Bachelor’s degree in Computer Science or related technical field; or 3 years and a Master’s degree; or equivalent practical experience.
• Demonstrated ability to work in a collaborative team context.
• Demonstrated software development experience targeting Linux / Unix platforms involving:
◦ code contributions in Python and/or Javascript
◦ design of systems, interfaces, and data models
◦ scalable distributed systems and or web applications
• Ability to develop in a Linux environment using Python and Javascript.
• Understanding of data structures and algorithms.
• Familiarity with web APIs such as SOAP and REST.
• Strong analysis and troubleshooting skills.
• Excellent written and verbal communication skills.
• Demonstrated ability to write clear and accurate requirements, use cases, designs and documentation.
• Ability to operate in interdisciplinary teams.
Desired Qualifications:
• 8 years of relevant work in areas of software development and/or network services.
• Experience developing network telemetry/ observability systems.
• Demonstrated technical and or nontechnical leadership experience.
• Demonstrated experience in any of the following areas:
◦ architecting software solutions
◦ developing multi-tenant services
◦ staff supervision and mentoring
◦ participation in multi-institutional collaborations
◦ product and or project management
• Experience with the following technologies:
◦ Google Cloud Platform, Kubernetes
◦ React, Swagger, d3.js
◦ Postgres, Elasticsearch, Logstash, Grafana, Kafka
◦ Java, Go, C/C++
• Familiarity and experience with Agile software engineering practices that include testing, documentation, source code management (ideally Git and Github) and release procedures.
• Knowledge of Internet networking and protocols.
• Knowledge of containers and Kubernetes.
• Solid understanding of network engineering concepts and protocols.
• Solid understanding of security concepts such as zero trust architectures and federated identity.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Scientific Data Architect
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionScientific Data Architect - 96084
Division: NE-NERSC
The National Energy Research Scientific Computing (NERSC, https://www.nersc.gov/) Center at Berkeley Lab is seeking a Scientific Data Architect to collaborate with scientists to enable their Data, AI and Analytics needs using NERSC supercomputers.
NERSC provides high performance computing services to the Department of Energy's Office of Science programs, including High Energy Physics, Basic Energy Sciences, Fusion Energy Sciences, and Biological and Environmental Research. NERSC is currently deploying Perlmutter, a supercomputer featuring a GPU partition with over 6000 GPUs as well as an all-flash filesystem and high-performance networking for data-centric computing. The DAS Group at NERSC is responsible for providing data, AI and analytics software, services and support for NERSC systems.
In this exciting role, you will be responsible for ensuring NERSC systems have a high performing data and AI software stack available for NERSC users, providing guidance for some of NERSC’s data management, transfer, storage, I/O tools, containers, and services. You will also be part of multidisciplinary and cross-institution scientific projects, working with scientists and instruments from around the world.
What You Will Do:
• Ensure NERSC systems provide a high performing and usable software stack for data analytics, machine learning, data management, I/O, container, or data transfer workloads. Expertise in one of these areas will be expected.
• Provide guidance via user support, including one-on-one support, training and documentation on data and analytics services at NERSC.
• Build partnerships and collaborations with scientists from across Berkeley Lab and the Department of Energy Office of Science community.
Additional Responsibilities as needed:
• Mentor early career staff members in data analytics, data transfer, data management or AI/ML techniques.
• Stay abreast of new and emerging data analytics and AI research and trends, through R&D collaborations, literature, workshops and conferences; translate these new directions into actionable opportunities for NERSC or NERSC users.
• Develop strategy for addressing both performance, as well as productivity requirements of the NERSC Data science community.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243099 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: NE-NERSC
The National Energy Research Scientific Computing (NERSC, https://www.nersc.gov/) Center at Berkeley Lab is seeking a Scientific Data Architect to collaborate with scientists to enable their Data, AI and Analytics needs using NERSC supercomputers.
NERSC provides high performance computing services to the Department of Energy's Office of Science programs, including High Energy Physics, Basic Energy Sciences, Fusion Energy Sciences, and Biological and Environmental Research. NERSC is currently deploying Perlmutter, a supercomputer featuring a GPU partition with over 6000 GPUs as well as an all-flash filesystem and high-performance networking for data-centric computing. The DAS Group at NERSC is responsible for providing data, AI and analytics software, services and support for NERSC systems.
In this exciting role, you will be responsible for ensuring NERSC systems have a high performing data and AI software stack available for NERSC users, providing guidance for some of NERSC’s data management, transfer, storage, I/O tools, containers, and services. You will also be part of multidisciplinary and cross-institution scientific projects, working with scientists and instruments from around the world.
What You Will Do:
• Ensure NERSC systems provide a high performing and usable software stack for data analytics, machine learning, data management, I/O, container, or data transfer workloads. Expertise in one of these areas will be expected.
• Provide guidance via user support, including one-on-one support, training and documentation on data and analytics services at NERSC.
• Build partnerships and collaborations with scientists from across Berkeley Lab and the Department of Energy Office of Science community.
Additional Responsibilities as needed:
• Mentor early career staff members in data analytics, data transfer, data management or AI/ML techniques.
• Stay abreast of new and emerging data analytics and AI research and trends, through R&D collaborations, literature, workshops and conferences; translate these new directions into actionable opportunities for NERSC or NERSC users.
• Develop strategy for addressing both performance, as well as productivity requirements of the NERSC Data science community.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243099 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• A minimum of 8 years of related experience with a Bachelor’s degree in STEM; or 6 years and a Master’s degree; or equivalent experience.
• Expertise in at least one data technology is required. These include: machine learning, data analytics, data management tools, I/O, storage systems, workflow tools, and databases. Experience of multiple such technologies is a plus.
• Experience working with scientific domains and scientific datasets.
• Experience in developing code in at least one language (ideally Python or C/C++).
• Good knowledge of the Linux environment.
Desired Qualifications:
• PhD Physical Sciences, Computer Science or related field and 12 years of experience.
• Experience with the Production HPC environment and deploying services at scale.
• Understanding of single-node performance (code optimization) and multi-node scaling issues for the data science portfolio.
• Experience of developing and maintaining software documentation and conducting training and outreach activities.
• A minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.
• Broad expertise and/or unique knowledge in the areas of data technology.
• Excellent communication and interpersonal skills.
• Demonstrated ability to work effectively as part of a cross-disciplinary team.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Machine Learning Postdoctoral Fellow
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionHPC Performance Engineer - 93490
Division: NE-NERSC
Are you excited about speeding up scientific codes? Would you like to run software on cutting edge computer architectures? Do you want to help scale up science to the world’s largest supercomputers? If so, consider joining NERSC as a HPC Performance (NESAP) Engineer.
As a NESAP engineer, you will be a part of a multidisciplinary team composed of computational and domain scientists working together to enable science that uses the capabilities of some of the largest supercomputers in the world.
NERSC is a supercomputing center that supports 7000 scientists whose research is supported by the US Department of Energy. Soon NERSC will begin deploying a new GPU-accelerated supercomputer called “Perlmutter” featuring next-generation AMD Milan CPUs, NVIDIA Ampere A100 GPUs, a novel high-speed interconnect, and an all-flash file system. The NESAP program will enable new scientific advancements using Perlmutter by working with scientists to exploit cutting-edge computational science techniques. It has focus areas in machine learning, data analysis, and simulation.
NESAP for Learning (N4L): focuses on developing and implementing cutting-edge machine learning (ML) and deep learning (DL) solutions to improve scientific discovery potential on experimental or simulation data or improving HPC applications by replacing parts of the software stack or algorithms with ML/DL solutions.
NESAP for Data (N4D): addresses data-intensive science pipelines that process massive datasets from experimental and observational science (EOS) facilities like synchrotron light sources, telescopes, microscopes, particle accelerators, or genome sequencers. The goal is seamless integration and data flow between EOS facilities and supercomputing resources to enable scalable real-time data analytics.
NESAP for Simulation (N4S): Cutting-edge simulation of complex physical phenomena requires increasing amounts of computational resources due to increasing model sizes, parameter space searches, and inclusion of additional physics for higher fidelity. N4S focuses on algorithm and data structure development and implementation on new architectures such as GPUs, exposing additional parallelism and improving scalability.
What You Will Do:
• Work together with NERSC staff and scientific code teams to transition and optimize simulation, data analytics, or machine learning software for the Perlmutter system.
• Working with domain experts to develop, adapt, and optimize state-of-the-art algorithms, techniques, and models to solve scientific problems on HPC systems.
• Conduct profiling and scaling studies as well as parallelization, memory bandwidth, and I/O analyses for these codes; identify and capitalize on NERSC’s combined HPC/data ecosystems.
• Support at least one widely used scientific software package on NERSC systems.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time 2 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243106 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: NE-NERSC
Are you excited about speeding up scientific codes? Would you like to run software on cutting edge computer architectures? Do you want to help scale up science to the world’s largest supercomputers? If so, consider joining NERSC as a HPC Performance (NESAP) Engineer.
As a NESAP engineer, you will be a part of a multidisciplinary team composed of computational and domain scientists working together to enable science that uses the capabilities of some of the largest supercomputers in the world.
NERSC is a supercomputing center that supports 7000 scientists whose research is supported by the US Department of Energy. Soon NERSC will begin deploying a new GPU-accelerated supercomputer called “Perlmutter” featuring next-generation AMD Milan CPUs, NVIDIA Ampere A100 GPUs, a novel high-speed interconnect, and an all-flash file system. The NESAP program will enable new scientific advancements using Perlmutter by working with scientists to exploit cutting-edge computational science techniques. It has focus areas in machine learning, data analysis, and simulation.
NESAP for Learning (N4L): focuses on developing and implementing cutting-edge machine learning (ML) and deep learning (DL) solutions to improve scientific discovery potential on experimental or simulation data or improving HPC applications by replacing parts of the software stack or algorithms with ML/DL solutions.
NESAP for Data (N4D): addresses data-intensive science pipelines that process massive datasets from experimental and observational science (EOS) facilities like synchrotron light sources, telescopes, microscopes, particle accelerators, or genome sequencers. The goal is seamless integration and data flow between EOS facilities and supercomputing resources to enable scalable real-time data analytics.
NESAP for Simulation (N4S): Cutting-edge simulation of complex physical phenomena requires increasing amounts of computational resources due to increasing model sizes, parameter space searches, and inclusion of additional physics for higher fidelity. N4S focuses on algorithm and data structure development and implementation on new architectures such as GPUs, exposing additional parallelism and improving scalability.
What You Will Do:
• Work together with NERSC staff and scientific code teams to transition and optimize simulation, data analytics, or machine learning software for the Perlmutter system.
• Working with domain experts to develop, adapt, and optimize state-of-the-art algorithms, techniques, and models to solve scientific problems on HPC systems.
• Conduct profiling and scaling studies as well as parallelization, memory bandwidth, and I/O analyses for these codes; identify and capitalize on NERSC’s combined HPC/data ecosystems.
• Support at least one widely used scientific software package on NERSC systems.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time 2 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243106 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• Undergraduate degree in Computational Science, Data Science, Computer Science, Applied Mathematics, Physical Sciences or related science domain areas.
• Ability to work productively both independently and as part of an interdisciplinary team balancing objectives involving research and code development.
• Experience and knowledge in at least one of: computing, code development for machine learning, experimental science, and supercomputing.
• Demonstrably effective communication and interpersonal skills.
For N4L positions:
• Experience with machine learning/deep learning frameworks such as TensorFlow, PyTorch, scikit-learn.
• Experience in building and training ML/DL models and keeping abreast with new deep learning innovations in training algorithms and neural network architectures.
• Experience or interest in distributed training of complex deep learning models on large scientific datasets.
For N4D positions:
• Experience with at least one high-level language (HLL) such as Python, Julia, Matlab, or R and corresponding data analytics packages, especially at large scale. Awareness of issues associated with optimizing and parallelizing HLL-based codes is a plus.
• Familiarity with libraries or frameworks that enable productive data analytics, improve parallelism in general, or provide GPU acceleration for HLLs, for example: Numba or Dask.
• Interest in one or more of the following areas: Container technologies (e.g. Docker), Jupyter notebooks, complex workflows and pipelines, and/or data analytics tools.
For N4S positions:
• Experience writing software targeting GPU and parallel/manycore computer architectures, and/or optimizing software for GPU acceleration, multithreading, and/or vectorization.
• Experience with numerical methods relevant to scientific HPC applications, such as particle or grid methods, etc.
• Experience with C, C++, Fortran, MPI, or data structure transformations.
Desired Qualifications:
• Experience with the development and performance optimization of scientific software in the HPC context, including algorithms design or applied mathematics.
• Contributions to scientific and/or open source software projects, public code repositories, publication record.
• To be considered applicants are strongly encourage to include the following with their application:
• A Cover Letter: Include a cover letter introducing yourself, your application, and describing your interest in the program. Please be sure to highlight which NESAP program area interests you most: Simulation, Data, or Learning.
• Curriculum Vitae/Resume: Either an academic CV or a resume is acceptable. Be sure to highlight technical skills, publications, and activities, relevant to the position.
• Links to public code repositories, project portfolios, blog posts or other relevant career metrics are welcome!
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC/AI Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
Description• Design and implementation of algorithms for geometric and topological analysis, as well as applying them to ML methods.
• Design and implementation of software frameworks for in situ data analysis and to manage HPC and AI workloads.
• Participate in a multidisciplinary team involving computer scientists, applied mathematicians, and domain scientists with the purpose of developing and deploying these codes for the solution of scientific and engineering problems.
• Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Exercise judgment in selecting methods, techniques, and evaluation criteria for obtaining results.
• Determine methods and procedures on new assignments, and may coordinate activities of other personnel.
• Network with senior internal and external personnel outside your own area of expertise.
• Design and implementation of software frameworks for in situ data analysis and to manage HPC and AI workloads.
• Participate in a multidisciplinary team involving computer scientists, applied mathematicians, and domain scientists with the purpose of developing and deploying these codes for the solution of scientific and engineering problems.
• Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Exercise judgment in selecting methods, techniques, and evaluation criteria for obtaining results.
• Determine methods and procedures on new assignments, and may coordinate activities of other personnel.
• Network with senior internal and external personnel outside your own area of expertise.
Requirements• Minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or equivalent experience.
• Programming Proficiency in C++, Python, and the binding between these programming languages.
• Experience in algorithm development, knowledge of computational geometry, topology, and machine learning algorithms.
• Excellent written and oral communication skills.
• Ability to resolve complex issues in creative and effective ways.
• Demonstrated ability to work effectively as part of a cross-disciplinary team.
• Familiarity with accelerator programming models (open-standard offload models, e.g., OpenMP, SYCL, or vendor-specific models, such as CUDA).
• Familiarity with AI frameworks PyTorch, TensorFlow, etc.
• Familiarity with computer architectures and performance bottlenecks.
Company DescriptionBerkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Student Assistant (Multiple Openings and Projects)
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionESnet's mission is to accelerate science by delivering unparalleled networking capabilities, tools, and innovations. ESnet interconnects the US National Laboratory system, is widely regarded as a technical pioneer and is currently the fastest science network in the world. We are a dynamic organization, highly motivated and focused on results. We are working at the leading edge of software-defined networking, network knowledge plane, dynamic network infrastructure, network visualization, network knowledge plane, multi-domain and multi-layer architectures, machine learning, and quantum network etc. The successful students will be the ones that bring strong and diverse coding skills and are self-motivated.
As part of the application process, please combine a short cover letter with your resume and explain which projects you would prefer to apply to.
As part of the application process, please combine a short cover letter with your resume and explain which projects you would prefer to apply to.
RequirementsUse link to view Job Requirements for multiple openings
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hardware and C++ Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionBerkeley Lab has an opening for a Hardware and C++ Engineer in the Applied Mathematics and Computational Research Division (AMCR). This position will contribute to a number of projects. This includes
• developing custom hardware accelerators for traditional CMOS technologies
• novel technologies with different computational models
• Developing software to simulate novel hardware or to develop applications and representative kernels that may execute on emerging extreme heterogeneous hardware
As an Engineer, you will support starting and existing projects by programming in hardware description languages such as Verilog. This includes evaluating CMOS circuits based on a collection of metrics for a chosen set of applications. The successful candidate will require knowledge of hardware design using a Hardware Description Language and strong knowledge of software programming languages such as C++ and python.
• developing custom hardware accelerators for traditional CMOS technologies
• novel technologies with different computational models
• Developing software to simulate novel hardware or to develop applications and representative kernels that may execute on emerging extreme heterogeneous hardware
As an Engineer, you will support starting and existing projects by programming in hardware description languages such as Verilog. This includes evaluating CMOS circuits based on a collection of metrics for a chosen set of applications. The successful candidate will require knowledge of hardware design using a Hardware Description Language and strong knowledge of software programming languages such as C++ and python.
RequirementsWhat is Required:
• Bachelor’s degree and a minimum of 2 years of related experience in a Computing Science or Computer Engineering related scientific discipline; or an equivalent combination of education and work experience.
• Experience in C++ development.
• Experience in Verilog (or equivalent HDL) and hardware design in CMOS.
• Experience with the use of script languages and system utilities such as configure, Perl, UNIX shell scripts, and “make.”
• Proven record of working effectively in a team, seeing projects through to completion, meeting deadlines, interacting with users, and thorough documentation of contributions.
• Willingness to learn and develop skills in new topics.
Desired Qualifications:
• Experience in circuit-level design using SPICE.
• Experience in hardware CAD tools for FPGAs.
• Familiarity with testing and evaluating of new hardware blocks.
• Experience in hardware ASIC CAD tools such as from Synopsys and Cadence.
• Familiarity or experience with industry-standard benchmark programs and methods.
• Developer level experience in architectural simulator code development.
• Knowledge of parallel applications and programming would be a bonus.
• Experience using performance analysis tools (e.g., hardware performance counters and code instrumentation frameworks like PAPI or HPC Toolkit) would be beneficial to understand the performance of complex scientific applications involved in the study.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Account Executive-Higher Education & Research
·
DataDirect Networks
·
Remote
Hide Details
SessionJob Postings
DescriptionWe are currently seeking an Account Executive - MIDWEST EDU. The Account Executive will work in the development of new HPC Higher Education and Research position will be field based and involve travel approximately 30%-40% of the time. The job involves managing a territory and growing business through their own experience, including previously established relationships; so a successful applicant must have strong industry contacts and a demonstrated success in personally closing business in the HPC & EDU space.
Responsibilities for this role include but are not limited to:
Create and maintain a customer pipeline, hitting revenue goals and growing the territory.
Lead and coordinate complex, team selling efforts (with internal and external partners).
Develop a strong understanding of the customers’ technology infrastructure, strategy and business requirements.
Partner with internal staff to create successful Proposals and Presentations in response to RFPs and other customer needs.
Attend trade shows and other activities to raise DDN’s presence in the industry.
Manage customer relationships post-sale; including a strategy to close repeat business.
Responsibilities for this role include but are not limited to:
RequirementsQualifications for this role are:
Must have 6-8 years of experience in selling storage, with strong technical expertise, including deep industry knowledge and contacts.
A successful Account Executive will be expected to drive business through their own experience, including previously established relationships.
BA or BS in a related field is required.
A demonstrated knowledge of DDN SAN/NAS appliance product lines is desired.
Company DescriptionDataDirect Networks (DDN.com) is a world leader in massively scalable storage. We are the leading provider of data storage and processing solutions and professional services that enable content-rich and high-growth IT environments to achieve the highest levels of systems scalability, efficiency and simplicity. DDN enables enterprises to extract value and deliver results from their information. Our customers include the world's leading online content and social networking providers, high performance cloud and grid computing, life sciences, media production organizations and security & intelligence organizations.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Quantum Algorithms Postdoctoral Fellow
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/) and the National Energy Research Scientific Computing Center (NERSC) have a joint opening for a Postdoc in the area of Applied Mathematics and HPC with an emphasis on Quantum Computing. In this exciting role, you will participate in research activities related to the development of scalable mathematical and software tools for quantum subspace algorithms that are relevant to DOE, LBNL and NERSC missions.
RequirementsWhat is Required:
• Ph.D. degree in Computer Science, Mathematics, Physics, or a relevant field with a computationally-oriented research focus.
• Strong background in numerical linear algebra including matrix decompositions, iterative methods, approximation theory, and optimization.
• Experience in scientific computing, algorithm design and HPC with GPU and parallel/manycore computer architectures, threading, and vectorization.
• Knowledge of performance optimization for scientific codes in C++/C/FORTRAN and MPI/OpenMP/Cuda.
• Excellent verbal and written communication skills.
Desired Qualifications:
• Knowledge of quantum computing and quantum information.
• Experience with quantum computing software stack.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Federal Sales Engineer
·
DataDirect Networks
·
Remote
Hide Details
SessionJob Postings
DescriptionWe are seeking a strong Systems Engineer (SE) to perform pre-sales activities for the Federal team. This position provides technical support to Sales Reps. The candidate will design solutions and proposals to meet customer-defined specifications, help customers define solution specifications, provide POC and Benchmark support.
Responsibilities for this role include but are not limited to:
Participate in customer-focused seminars, tradeshows, events, and training.
Provide RFP responses, technical drawings, presentations, and recommendations.
Acquire and maintain a thorough technical and procedural understanding of DDN Sales cycles, products/services and a thorough technical understanding of like industries.
Develop a substantial knowledge of the company's SAN appliances product line.
Create of Bill of Materials (BOMS) of proposed customer solutions’ for submission to Inside Sales for quoting.
Responsibilities for this role include but are not limited to:
RequirementsQualifications for this role are:
Knowledge of the storage industry and solutions is a must.
3-5 Years’ experience in Operating systems debugging Linux and Windows Environments.
Red Hat, SUSE, Windows XP, Server, 2000, 2003 and 2008. Scripting (Shell), C++, Java, Perl.
Knowledge of clustering packages, Lustre, SNFS, GPFS, Red Hat Clustering.
Knowledge of block storage SAN and RAID systems.
BS or work equivalent in Computer Information Systems.
Knowledge of networking concepts is required; NAS protocol levels (CIFS, NFS, SMB, etc...)
and ability to integrate and trouble shoot at all layers of OSI model.
Active Security clearance, or ability to obtain one highly desirable.
Company DescriptionDataDirect Networks (DDN.com) is a world leader in massively scalable storage. We are the leading provider of data storage and processing solutions and professional services that enable content-rich and high-growth IT environments to achieve the highest levels of systems scalability, efficiency and simplicity. DDN enables enterprises to extract value and deliver results from their information. Our customers include the world's leading online content and social networking providers, high performance cloud and grid computing, life sciences, media production organizations and security & intelligence organizations.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computational Science/Applied Mathematics Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/) has an opening for a Computational Science/Applied Mathematics Postdoctoral Scholar with a strong background in applied mathematics and computational science to work on developing new methodologies and algorithms to advance Gaussian-Process-driven uncertainty quantification, with the end goal of improving procedures for autonomous data acquisition. All algorithmic developments will be applied to data coming from one or more instruments and other data sources within the network of DOE’s experimental facilities.
RequirementsWhat is Required:
• PhD in applied mathematics, computer science, statistics, or a related field.
• Experience and a strong interest in scientific software development or research software engineering.
• Experience using and developing in Python.
• Experience with high-performance computing (HPC) ideally in Python.
• Demonstrated record of scientific excellence through publications, talks, or software deliverables.
• Ability to work collaboratively with a diverse team of scientists and engineers.
• Experience contributing to a scientific software project in a team environment, which might include co-developing an internal project or contributing to community-based open-source software.
Desired Qualifications:
• Experience with uncertainty quantification, ideally Gaussian or general stochastic processes.
• A working understanding of kernel methods and Reproducing Kernel Hilbert Spaces.
• Background in differential geometry.
• Demonstrated record in collaborative software development, especially in distributed teams.
• Experience with the DASK library.
• Interest in experiencing large-scale experiments.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Postdoctoral Fellow in Supercomputing Performance
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Sciences Division has an opening for a Postdoctoral Fellow in Supercomputing Performance to join the team.
In this exciting role, you will develop performance analysis, modeling, and tuning techniques for scientific simulation and AI applications. The duties of this position also involves runtime development and tuning for GPU-accelerated distributed memory HPC systems.
In this exciting role, you will develop performance analysis, modeling, and tuning techniques for scientific simulation and AI applications. The duties of this position also involves runtime development and tuning for GPU-accelerated distributed memory HPC systems.
RequirementsWhat is Required:
• PhD degree, within the last 3 years, in computer science, applied math, computational science, or a related technical field.
• Experience in using at least one of the GPU programming models (e.g. OpenMP, OpenACC, or vendor-specific ones).
• Familiarity with performance profiling infrastructures.
• Excellent written and oral communication skills.
Desired Qualifications:
• Familiarity with the design of machine learning frameworks, such as PyTorch, Tensorflow, MXNet, etc.
• Familiarity with runtime system development for distributed computing environments.
• Familiarity with python internals and interoperability with the C/C++/GPU programming models.
• Strong background in parallel computer architectures, accelerators, and memory technologies.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Director, Channel Sales - NA
·
DataDirect Networks
·
Remote
Hide Details
SessionJob Postings
DescriptionWe are currently seeking a Channel Sales Manager. As Channel Sales Manager you will manage all sales activities for DDN designated channel partners in support of revenue and business unit expansion objectives. This challenging and highly visible position requires an individual who brings the proven ability to drive incremental business with channel partner field sales while meeting aggressive revenue goals on a consistent basis.
Responsibilities for this role include but are not limited to:
Act as the DDN account executive interface for determined individual accounts and provide the central point of contact for channel generated opportunities within DDN AE assigned accounts.
Meet and exceed set sales quotas for business unit and new opportunity objectives and provide accurate monthly and quarterly revenue forecasts.
Identify and participate in partner seminars and events for targeted sales programs.
Identify required DDN technical support requirements for sales campaigns and drive the training programs to position partner for technical self-sufficiency.
Responsibilities for this role include but are not limited to:
RequirementsQualifications for this role are:
Minimum of 7 years as an individual sales contributor and 5 years as a channel sales manager.
BS degree in Engineering or Computer Science is preferred, MBA a plus.
Demonstrated experience in building a channel sales program and expanding partner base to drive incremental business.
Strong understanding of storage technologies and competitive offerings in the marketplace.
Proven track record in driving program sales into the federal system integrator community.
Company DescriptionDataDirect Networks (DDN.com) is a world leader in massively scalable storage. We are the leading provider of data storage and processing solutions and professional services that enable content-rich and high-growth IT environments to achieve the highest levels of systems scalability, efficiency and simplicity. DDN enables enterprises to extract value and deliver results from their information. Our customers include the world's leading online content and social networking providers, high performance cloud and grid computing, life sciences, media production organizations and security & intelligence organizations.
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2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computational Cosmology Postdoctoral Scholar
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionComputational Cosmology Postdoctoral Scholar - 97204
Division: DD-Data Science
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Data Science Division has an opening for a Computational Cosmology Postdoctoral Scholar to join the team.
Applications are invited for the postdoctoral position in Berkeley Lab's Computational Cosmology Center (C3), working on topics related to cosmological simulations and inference of cosmological parameters using simulations and observational data.
Interact with researchers from UC Berkeley departments are encouraged, especially involving Berkeley Center for Cosmological Physics (BCCP) and Berkeley Institute for Data Science (BIDS). Berkeley Lab is a full member of several cosmology surveys, including DESI, LSST, CMB-S4 as well as additional CMB experiments. Postdoctoral researcher will have access to allocations on some of the world-leading supercomputers including Perlmutter (Berkeley/NERSC), Polaris (Argonne/ALCF) and Summit (Oakridge/OLCF).
What You Will Do:
• Statistical and machine learning methods for inferring cosmology from DESI and future sky surveys.
• Surrogate modeling of expensive cosmological simulations and related research directions.
• Generate your own research ideas.
• Become an essential member of a diverse team of cosmologists, applied mathematicians, and computer scientists, working together on furthering cosmological simulations and parameter inference.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time,1 yeah, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243108 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: DD-Data Science
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Data Science Division has an opening for a Computational Cosmology Postdoctoral Scholar to join the team.
Applications are invited for the postdoctoral position in Berkeley Lab's Computational Cosmology Center (C3), working on topics related to cosmological simulations and inference of cosmological parameters using simulations and observational data.
Interact with researchers from UC Berkeley departments are encouraged, especially involving Berkeley Center for Cosmological Physics (BCCP) and Berkeley Institute for Data Science (BIDS). Berkeley Lab is a full member of several cosmology surveys, including DESI, LSST, CMB-S4 as well as additional CMB experiments. Postdoctoral researcher will have access to allocations on some of the world-leading supercomputers including Perlmutter (Berkeley/NERSC), Polaris (Argonne/ALCF) and Summit (Oakridge/OLCF).
What You Will Do:
• Statistical and machine learning methods for inferring cosmology from DESI and future sky surveys.
• Surrogate modeling of expensive cosmological simulations and related research directions.
• Generate your own research ideas.
• Become an essential member of a diverse team of cosmologists, applied mathematicians, and computer scientists, working together on furthering cosmological simulations and parameter inference.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time,1 yeah, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243108 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• Ph.D. in Physics, Astronomy, Applied Mathematics, Computer Science or equivalent/related field.
• Publish and present research results in journals and conference proceedings.
• Experience with numerical simulations and statistical and machine learning techniques.
• Excellent oral and written communication skills.
• Ability to work productively both independently and as part of a diverse team.
Desired Qualifications:
• Experience with High-Performance Computing in scientific context.
Requested Application Materials:
• Curriculum Vitae.
• Statement of research experience and interests.
• Arrange for 3 letters of recommendation to be emailed to Zarija Lukić (zarija@lbl.gov).
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2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Algorithm/Architecture Research Scientist
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/applied-mathematics-dept/) has an opening for an Algorithm/Architecture Research Scientist to join the team.
In this exciting role, you will lead teams to conduct algorithmic co-design for future HPC architectures and quantify the performance of such systems through modeling, simulation, and numerical analysis. The scientist’s research and expertise must include parallel performance analysis, modeling and simulation of computer architectures, analysis of numerical algorithms, and parallel simulation methodologies such as parallel discrete event simulation.
In this exciting role, you will lead teams to conduct algorithmic co-design for future HPC architectures and quantify the performance of such systems through modeling, simulation, and numerical analysis. The scientist’s research and expertise must include parallel performance analysis, modeling and simulation of computer architectures, analysis of numerical algorithms, and parallel simulation methodologies such as parallel discrete event simulation.
RequirementsWhat is Required:
• PhD in Electrical Engineering, Computer Science, or Computational Science or an equivalent combination of education and experience.
• Nationally recognized experience and relevant referred publications in HPC algorithms, simulation, and performance modeling and analysis.
• Established track record of research accomplishments and proposal writing in these areas.
• Understanding and ability to analyze the parallel performance of computational kernels, algorithms, and workflows on various computer architectures.
• Ability to design and develop performance analysis and modeling tools and libraries as needed.
• A strong publication record, including peer-reviewed articles in the area of computer algorithms, parallel simulation methods, and high performance computing systems.
• A strong track record as a researcher in HPC research projects in the areas of interest (algorithmic co-design, computer modeling and simulation, parallel discrete event simulation).
• Excellent verbal and written communication skills.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computational Cosmology Center Group Lead
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Data Science Division has an opening for a Computational Cosmology Center Group Lead to join the team.
The Computational Cosmology Center (the C3 Group) is a team of astrophysicists, computational scientists, engineers, post-docs, and students with expertise in advanced computing techniques and their application to scientific collaborations, including cosmology and experimental and theoretical astrophysics. The C3 group was formed by the Computational Research and Physics Divisions at LBNL to focus on developing the tools, techniques, and technologies to meet the analysis challenges posed by present and future cosmological data sets. C3 researchers are embedded in large experimental or simulation focused collaborations to provide the cyberinfrastructure and underlying models for scientific data analysis and exploration.
This position is for a Computer Staff Scientist as group lead of the C3 Group in the Computational Science Department in the Scientific Data Division. In this exciting role, you will conduct and lead computing research and/or development projects within or related to ongoing or future cosmology science collaborations including DESI, LSST-DESC, CMB-S4, Euclid, WFIRST among others.
The Computational Cosmology Center (the C3 Group) is a team of astrophysicists, computational scientists, engineers, post-docs, and students with expertise in advanced computing techniques and their application to scientific collaborations, including cosmology and experimental and theoretical astrophysics. The C3 group was formed by the Computational Research and Physics Divisions at LBNL to focus on developing the tools, techniques, and technologies to meet the analysis challenges posed by present and future cosmological data sets. C3 researchers are embedded in large experimental or simulation focused collaborations to provide the cyberinfrastructure and underlying models for scientific data analysis and exploration.
This position is for a Computer Staff Scientist as group lead of the C3 Group in the Computational Science Department in the Scientific Data Division. In this exciting role, you will conduct and lead computing research and/or development projects within or related to ongoing or future cosmology science collaborations including DESI, LSST-DESC, CMB-S4, Euclid, WFIRST among others.
RequirementsWhat is Required:
• Ph.D. in Physics, Astrophysics, Astronomy, Applied Mathematics, Computer Science, Computational Sciences, or related fields, or overall equivalent experience.
• At least five years of experience in conducting original research in scientific computing and computational science.
• Demonstrated experience in scientific research with a strong publication record.
• Demonstrated record in securing research funding.
• Excellent communication and interpersonal skills; ability to work effectively with colleagues from different backgrounds with different technical skill sets.
• Must have excellent problem-solving skills. Ability to work well in a team environment with astrophysicists, physicists, and computing professionals from within the Laboratory as well as remote institutions. Good written and interpersonal communication skills.
• Experience writing robust applications used for production by multiple people over an extended time period in both cluster and HPC facilities. Demonstrated ability to design and implement software deliverables on a time-critical path.
• Demonstrated ability to stay ahead of a rapidly developing technology. Pursuit of emerging and advanced technologies should be of long-term interest. Possess in-depth working knowledge of current and upcoming computing issues in Cosmology and Astrophysics.
• Demonstrated expertise in multiple computer languages on various operating systems. Including, but not limited to C++, Java, Python, Unix, and Linux. Expertise in use of best practices and methodologies in software engineering.
• Demonstrated ability to be a decisive leader and exercise independent judgment.
Desired Qualifications:
• Knowledge of other scientific computing disciplines.
• Familiarity with Grid concepts, middleware, workflows, and applications.
• Experience with databases.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Quantums Computing Postdoctoral Scholar
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Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/applied-mathematics-dept/) has an opening for a Computational Science and Algorithms Postdoctoral Scholar to work on higher-order accurate approaches and solvers.
The Applied Numerical Algorithms Group (ANAG) develops advanced numerical algorithms and software for partial differential equations integrated with software to problems of computational, scientific, and engineering interest. The primary focus of our work is in the development of high-resolution and adaptive finite difference methods for partial differential equations in complex geometries with applications to DOE-mission applications including fluid flows, industrial problems, climate, and fusion energy.
The Applied Numerical Algorithms Group (ANAG) develops advanced numerical algorithms and software for partial differential equations integrated with software to problems of computational, scientific, and engineering interest. The primary focus of our work is in the development of high-resolution and adaptive finite difference methods for partial differential equations in complex geometries with applications to DOE-mission applications including fluid flows, industrial problems, climate, and fusion energy.
RequirementsWhat is Required:
• Ph.D. in Applied Mathematics, Computer Science, or Physical Sciences/Engineering within the last 3 years, with a strong research experience in numerical algorithms, especially higher-order methods in space and time.
• Strong background in applied mathematics, computational methods, and scientific computing.
• Experience in C++ programming and optimizing performance on different architectures.
Desired Qualifications:
• Experience developing mathematical and software models for science applications.
• Understanding of parallel computing and systems architecture in their contributions to the overall application performance.
• General experience in developing higher-order finite volume methods and time integrators, and analysis of their accuracy and stability properties.
• Experience with using and building open-source software, solver libraries, and high performance computing resources.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Senior Software Engineer – HPC, Storage and Distributed File Systems
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Samsung Electronics ,SSI
·
San Jose, CA
Hide Details
SessionJob Postings
DescriptionResponsibilities
• We are looking for HPC, storage, and scale-out distributed file systems experts who love to architect, design, write, and debug code.
• Participate in architecture reviews and, test reviews, bug fixes for hyper scale systems
• Responsibility for backend management plane, cluster state management and distributed storage.
• Participate in making contributions to the full stack development.
• Transfer your technology to product groups.
• We are looking for HPC, storage, and scale-out distributed file systems experts who love to architect, design, write, and debug code.
• Participate in architecture reviews and, test reviews, bug fixes for hyper scale systems
• Responsibility for backend management plane, cluster state management and distributed storage.
• Participate in making contributions to the full stack development.
• Transfer your technology to product groups.
RequirementsQualifications
• PhD degree in Computer Science, or equivalent experience in Computer Science, Electrical and Computer Engineering, Artificial Intelligence, Applied Math, or related field, or Master’s degree plus minimum three years of experience in related area.
• Solid Education and Background in Computer Science and Engineering with deep understanding of:
o Operating Systems fundamentals (e.g. CPU scheduling, memory management, multithreading, synchronization, virtualization, I/O, file systems)
o Data Structure fundamentals and Algorithm Analysis (e.g. time and space complexity)
o Computer Network fundamentals (e.g. TCP/IP, DNS)
• Expertise and/or hands-on experiences in the following areas are highly desired:
o Strong communication and writing skills
o Desired Programing Languages: C/C++, Go, Rust, Python, Shell scripting, Java
o Local and remote file systems concepts (Ext4, FAT, NTFS, NFS/CIFS) and storage technologies (e.g. PCIe, NVMe, SPDK/PMDK, Erasure Coding, RAID, Key-Value Stores)
o Distributed computing (e.g. peer-to-peer and client-server models, RDMA, RPC) and clustering, fail-over, failure-tolerant concepts
o Distributed file systems (e.g. scalability, replication, reliability & security) and open source projects such as Ceph, Lustre and DAOS
o Familiarity with Agile development process and automation tools (e.g. git, gdb, Ansible)
o Participation in the open-source community (e.g. Linux kernel)
• Experiences in the following areas are pluses:
o Familiarity with AI development framework and software stack (e.g. PyTorch, TensorFlow, CUDA, oneAPI)
o Understanding of CPU and GPU architecture and other hardware accelerator technologies (e.g. DPU, FPGA, Computational Storage Devices)
o Experiences with HPC and scientific computing environments
o Experiences with Kubernetes and Docker and other container technologies
Additionally, we look for the following universal qualities in all candidates:
• Resourceful Achiever: self-driven and proactive, you apply logic and reason to effectively solve problems and manage risks.
• Avid Learner: you eagerly take on new challenges and seek out opportunities to grow and stretch
• Passionate Owner: you are energized by your work, taking ownership and delivering results
• Committed Collaborator: with a positive attitude and commitment to get to the best result, you welcome ideas from others and drive processes forward in an inclusive manner
HOW TO APPLY
Apply for this job using the link on the job's page: https://boards.greenhouse.io/samsungsemiconductor/jobs/5298364003
SSI is an Equal Opportunity Employer. It is SSI’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, and hiring decisions are made accordingly.
**************************************************************************************
Samsung Semiconductor Inc (SSI), an equal opportunity employer, is a world leader in Memory, System LSI, and LCD technologies. Headquartered in San Jose, California, SSI is a wholly-owned U.S. subsidiary of Samsung Electronics Co., Ltd.- one of the largest semiconductor manufacturer in the world and the
Company DescriptionSAMSUNG SEMICONDUCTOR INC. OVERVIEW:
Samsung Semiconductor Inc. (SSI) is advancing the world’s technology. As a leader in Memory, System, LSI and LCD technologies, our US teams contribute to breakthroughs in 5G, SOC, memory and display. By seeking the diverse perspectives of our counterparts around the world, we collaborate to make a global impact. We are looking for team members who share our commitment to learning and growth as well as our desire to build personal connections along the way.
SSI is headquartered in the heart of Silicon Valley and is a wholly-owned U.S. subsidiary of Samsung Electronics Co., Ltd.- the #1 employer in the world (Forbes, Oct 2020) and top patent-holder in the U.S. Want to advance the world’s technology with us?
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·
2022-10-27
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Security/Systems Postdoctoral Scholar
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionThe Computing Sciences Research Area (https://crd.lbl.gov/) has an immediate opening for a post-doctoral researcher to perform vital research and development in the area of the use of trusted execution environments (TEEs) in high-performance computing (HPC) domains. The goal of this work is to enable high-performance scientific computing of sensitive data (https://cacm.acm.org/magazines/2021/5/252168-trustworthy-scientific-computing/fulltext) without significantly compromising usability or performance. The work includes software development of and experimentation with security and privacy technologies critical to facilitate data collection and sharing.
The goal of this position is to contribute to developing and implementing new trusted execution environment architectures and related low-level system software appropriate to the threat model and performance requirements of high-performance scientific computing. Our solution involves a RISC-V based architectural development, development of and modifications to low-level operating system elements, and implementation and experimentation.
Important qualities of the position include experience in low-level operating system elements and experience with software development.
The goal of this position is to contribute to developing and implementing new trusted execution environment architectures and related low-level system software appropriate to the threat model and performance requirements of high-performance scientific computing. Our solution involves a RISC-V based architectural development, development of and modifications to low-level operating system elements, and implementation and experimentation.
Important qualities of the position include experience in low-level operating system elements and experience with software development.
RequirementsMinimum Qualifications:
• PhD degree in computer science, computer engineering, electrical engineering, or a related technical field is required.
• Demonstrated experience in software development and in writing low-level system software, such as operating system kernels or drivers.
• Proficiency and experience in programming languages including low-level programming languages used in systems software, such as C/C++ or Rust, and higher-level languages used in data analysis, such as Python.
• Established record of peer reviewed publications in systems and/or security venues.
• Proficiency with UNIX tools and computer systems.
• Demonstrated ability to work independently and collaboratively in a diverse interdisciplinary team and contribute to an active intellectual environment.
• Excellent English written and oral communication.
Desired Qualifications:
• Familiarity with fundamentals of computer security and/or familiarity with using trusted execution environments.
• Familiarity with computational methods used in scientific computing environments, including parallel execution environments (e.g., MPI).
• Familiarity with assembly language and/or the RISC-V Instruction Set Architecture.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Security Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionBerkeley Lab’s (LBNL, https://www.lbl.gov/) Energy Sciences Network (ESnet, http://www.es.net/) Division is a scientific network that interconnects the DOE national laboratory system; is widely-regarded as a global innovator in network architectures, tools, and applications; and is currently the fastest scientific network in the world. This is a full time position on the ESnet security team, which is responsible for protecting ESnet assets, responding to computer security incidents, and advancing information security tools and architectures within the global R&E community in support of scientific inquiry.
We have an immediate opening for a Security Engineer (Computer Systems Engineer) to provide information security services and support to ESnet with a specific focus on cloud security services.
We have an immediate opening for a Security Engineer (Computer Systems Engineer) to provide information security services and support to ESnet with a specific focus on cloud security services.
RequirementsWhat is Required:
• Bachelor’s degree in computer science or related field with at least 4 years of experience in hands-on technical work in an operational setting; and/or an equivalent combination of experience and education.
• An understanding of security principles with a demonstrated ability to think from a risk perspective and with some depth in at least one facet of information security.
• Strong oral and written communication skills and a demonstrated history of working with other teams on common goals.
• Demonstrated ability to work with minimal prescriptive direction, able to determine what is needed to fulfill high level outcomes.
• Patience and persistence in service of improving the status quo towards our long term security vision.
• Able to work on multiple tasks and respond to rapidly changing priorities.
• Experience assessing and mitigating risks related to public cloud deployment.
• Understanding of networking concepts on Cloud such as VPCs, DNS PrivateZone, SLB, CDN, and security group equivalents.
• Experience implementing cloud native security controls (e.g., IAM, Config, Security Center)
• Experience using orchestration and automation.
Desired Qualifications:
• Experience in developing software and proficiency coding in Python or Go
• Strong understanding of complex TCP/IP networks.
• Solid understanding of Linux operating systems.
• Specific experience securing deployments in GCP.
• Familiarity with R&E or with non-classified government work.
• Experience working in a distributed environment and working remotely for those located outside Berkeley or Champaign, IL.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computational Science Postdoctoral Scholar
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Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionBerkeley Lab's (LBNL) Scalable Solvers Group in the Applied Mathematics and Computational Research Division has an opening for a Computational Science Postdoctoral Scholar in the area of plasma simulation and machine learning. The project involves the development of alternatives to particle-in-cell algorithms, as well as machine learning based surrogate simulators for kinetic modeling of particle accelerators and fusion devices.
RequirementsWhat is Required:
• Ph.D. in Mathematics, Computer Science, Computational Science, Physics, Engineering, or equivalent.
• Expertise in computational electromagnetics or plasma simulation with at least one of the following experiences: particle-in-cell, boundary element method, time-domain simulation, and fast analytical or algebraic algorithms.
• Proficiency in a high-performance programming language including C/C++/Fortran and MPI.
Desired Qualifications:
• Knowledge of machine learning algorithms and fast numerical linear algebra.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Storage Systems Analyst
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Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionHPC Storage Systems Analyst - 97184
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for an HPC Storage Systems Analyst to join the team.
In this exciting role, you will join the Storage Systems Group which is made up of system engineers and programmers providing NERSC’s 300 petabyte High Performance Storage System and center-wide, parallel file systems. Our storage systems are utilized by more than 8,000 scientists who use NERSC to perform unclassified, scientific research across a wide range of disciplines, including climate modeling, research into new materials, simulations of the early universe, high energy physics and a host of other scientific endeavors.
In addition to system operation responsibilities, you will lead and contribute to ongoing efforts to develop a storage strategy and plan the associated architecture and integration with NERSC’s HPC infrastructure. You will lead and contribute to evaluation of existing and emerging High Performance Computing (HPC), as well as AI/ML, storage systems, including analyzing the performance characteristics of leading-edge DOE Office of Science workloads and workflows on these systems. This position requires knowledge of storage system architectures as well as associated interconnects and networks. The HPC Storage Systems Analyst will also work with peers at other leading HPC facilities and vendor engineering teams to evaluate emerging storage technologies and define future directions for deployment.
You will also participate in regular cross-team efforts to integrate our storage systems with NERSC’s computational and networking infrastructure, troubleshoot performance issues at scale, and develop innovative solutions to continuously optimize operational and user productivity.
What You Will Do:
• Monitor, administer, and optimize NERSC’s distributed parallel file systems, block storage arrays, and auxiliary Linux-based storage servers.
• Analyze, troubleshoot, and resolve complex problems that arise in NERSC's production storage hardware, software systems, storage networks and systems that utilize NERSC storage systems.
• Participate in the planning and execution of cross-team maintenance activities, upgrades, and deployments at scale.
• Provide off-hours emergency support in a shared, on-call rotation for a subset of NERSC storage systems.
Additional Responsibilities as needed:
• Contribute to evaluation and benchmarking of existing and emerging storage systems.
• Measure and analyze the performance of NERSC's evolving workloads on current and future storage systems.
• Propose remedies to identified bottlenecks via tuning and/or architectural improvement with comprehensive understanding of any trade-offs in design, cost, and operational effects.
• Prepare timely reports, papers, and lectures describing significant results for dissemination within NERSC and throughout the broader HPC research community.
• Provide technical conceptual guidance to other group members and management and suggest directions for investigation.
• Participate in the NERSC decision-making process for acquisition of new HPC storage systems.
• Participate in NERSC’s outreach activities through written documents, presentations and developing peer to peer contacts with other professionals in the HPC field.
• Conduct research related to NERSC’s interests and ensure that any relevant research outcomes are deployed in production at NERSC.
• Proactively seek opportunities to collaborate with researchers, operators, and vendors across the global HPC community to apply the best ideas and solutions to solving NERSC's technical challenges.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242935 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for an HPC Storage Systems Analyst to join the team.
In this exciting role, you will join the Storage Systems Group which is made up of system engineers and programmers providing NERSC’s 300 petabyte High Performance Storage System and center-wide, parallel file systems. Our storage systems are utilized by more than 8,000 scientists who use NERSC to perform unclassified, scientific research across a wide range of disciplines, including climate modeling, research into new materials, simulations of the early universe, high energy physics and a host of other scientific endeavors.
In addition to system operation responsibilities, you will lead and contribute to ongoing efforts to develop a storage strategy and plan the associated architecture and integration with NERSC’s HPC infrastructure. You will lead and contribute to evaluation of existing and emerging High Performance Computing (HPC), as well as AI/ML, storage systems, including analyzing the performance characteristics of leading-edge DOE Office of Science workloads and workflows on these systems. This position requires knowledge of storage system architectures as well as associated interconnects and networks. The HPC Storage Systems Analyst will also work with peers at other leading HPC facilities and vendor engineering teams to evaluate emerging storage technologies and define future directions for deployment.
You will also participate in regular cross-team efforts to integrate our storage systems with NERSC’s computational and networking infrastructure, troubleshoot performance issues at scale, and develop innovative solutions to continuously optimize operational and user productivity.
What You Will Do:
• Monitor, administer, and optimize NERSC’s distributed parallel file systems, block storage arrays, and auxiliary Linux-based storage servers.
• Analyze, troubleshoot, and resolve complex problems that arise in NERSC's production storage hardware, software systems, storage networks and systems that utilize NERSC storage systems.
• Participate in the planning and execution of cross-team maintenance activities, upgrades, and deployments at scale.
• Provide off-hours emergency support in a shared, on-call rotation for a subset of NERSC storage systems.
Additional Responsibilities as needed:
• Contribute to evaluation and benchmarking of existing and emerging storage systems.
• Measure and analyze the performance of NERSC's evolving workloads on current and future storage systems.
• Propose remedies to identified bottlenecks via tuning and/or architectural improvement with comprehensive understanding of any trade-offs in design, cost, and operational effects.
• Prepare timely reports, papers, and lectures describing significant results for dissemination within NERSC and throughout the broader HPC research community.
• Provide technical conceptual guidance to other group members and management and suggest directions for investigation.
• Participate in the NERSC decision-making process for acquisition of new HPC storage systems.
• Participate in NERSC’s outreach activities through written documents, presentations and developing peer to peer contacts with other professionals in the HPC field.
• Conduct research related to NERSC’s interests and ensure that any relevant research outcomes are deployed in production at NERSC.
• Proactively seek opportunities to collaborate with researchers, operators, and vendors across the global HPC community to apply the best ideas and solutions to solving NERSC's technical challenges.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242935 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• Bachelor’s degree and a minimum of eight years of computing or storage experience; or six years and a Master’s degree; or equivalent experience.
• Demonstrated expertise of programs used for performance evaluation (e.g. IOR, fio, SPECstorage).
• Experience with the use of script languages and system utilities such as configure, Perl, Python, UNIX shell scripts, and “make.”
• Experience leading technical projects in a highly collaborative team environment.
• Strong understanding of Linux fundamentals including file systems, networking, and virtual memory management.
• Understanding of file system internals, prior work developing storage systems, or experience troubleshooting and optimizing parallel I/O.
• Knowledge of storage system and computer architecture used in HPC.
• Working knowledge of parallel storage technologies such as distributed storage systems, parallel file systems, object stores, hierarchical storage management, storage networking, and/or relevant hardware technologies.
• Proven record of working effectively in a team, seeing projects through to completion, meeting deadlines, interacting with users, and thorough documentation of contributions.
• Familiarity with industry-standard benchmark programs and methods.
• A demonstrated ability to lead technical efforts with teams of people.
• Ability to write and present technical talks at conferences and other venues.
• Excellent written and oral communication skills.
• Strong organizational skills and ability to effectively manage priorities across many projects ranging from immediate problem resolution to long-term strategic planning.
• Ability to work effectively and collaboratively on a team, as well as give and receive constructive feedback to foster communication and trust.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Postdoc - Quantum Sensing
·
Sandia National Lab
·
albuqueque
Hide Details
SessionJob Postings
DescriptionThe Multiscale Fabrication Science & Technology Development Department, 5229, is seeking a Postdoctoral Appointee to perform experimental investigations of quantum and semiclassical devices supporting fundamental science projects in areas ranging from quantum information and sensing to radiation detection, characterization of novel superconducting materials, and neuromorphic computing.
On any given day, you may be called upon to:
Drive research in a defined area of interest as part of established, diverse teams of physicists, engineers, and material scientists.
Contribute significantly at the forefront of one of the following areas:
Applications in radiation detection. Microfabricated devices of interest include superconducting quantum bits (qubits), transition-edge-sensors, and single electron transistors. Cryogenic measurements will span a range of temperatures.
Applications in neuromorphic computing, particularly stochastic devices. Microfabricated devices of interest include tunnel diodes and single electron transistors. Room-temperature measurements will require high-speed data acquisition and statistical analysis.
Applications in novel materials, including superconductivity. Microfabricated devices of interest range from Hall bars to Josephson junctions.
We seek a self-motivated experimentalist to advance existing projects while advancing their career through peer-reviewed publications and presentations as well as internal and external interactions. While the primary technical responsibility will be device measurement, we encourage hands-on involvement with device modeling or device fabrication. A significant amount of coordination with other staff and technologists to meet the needs of the teams is required. In this highly collaborative environment excellent teaming and communications skills are a requirement for success.
Due to the nature of the work, the selected applicant must be able to work onsite 100% of the time.
On any given day, you may be called upon to:
Drive research in a defined area of interest as part of established, diverse teams of physicists, engineers, and material scientists.
Contribute significantly at the forefront of one of the following areas:
Applications in radiation detection. Microfabricated devices of interest include superconducting quantum bits (qubits), transition-edge-sensors, and single electron transistors. Cryogenic measurements will span a range of temperatures.
Applications in neuromorphic computing, particularly stochastic devices. Microfabricated devices of interest include tunnel diodes and single electron transistors. Room-temperature measurements will require high-speed data acquisition and statistical analysis.
Applications in novel materials, including superconductivity. Microfabricated devices of interest range from Hall bars to Josephson junctions.
We seek a self-motivated experimentalist to advance existing projects while advancing their career through peer-reviewed publications and presentations as well as internal and external interactions. While the primary technical responsibility will be device measurement, we encourage hands-on involvement with device modeling or device fabrication. A significant amount of coordination with other staff and technologists to meet the needs of the teams is required. In this highly collaborative environment excellent teaming and communications skills are a requirement for success.
Due to the nature of the work, the selected applicant must be able to work onsite 100% of the time.
RequirementsQUALIFICATIONS WE REQUIRE:
PhD in physics, electrical engineering, or related field conferred within five (5) years prior to employment
Ability to acquire and maintain a DOE L security clearance
QUALIFICATIONS WE DESIRE:
Presentations at technical conferences or meetings
Experience performing original research, as demonstrated by a record of first-author publications in peer-reviewed journals
Experience with:
Cryogenic electrical transport measurements
High-speed device measurement
Devices used in radiation detection
Superconductivity and superconducting devices
Neuromorphic computing devices
Devices used in quantum information science or quantum sensing
Techniques used in superconducting or silicon device fabrication
Device modeling using technology computer aided design (TCAD)
Company DescriptionSandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov*These benefits vary by job classification.
·
·
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
UI Developer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL) Scientific Data Division has an opening for a User Interface Developer to join the team.
The Scientific Data Division fosters breakthrough discoveries through the application and development of novel data science methods, technologies, and infrastructures in partnership with science domain experts.
The Usable Data Systems (UDS) group in the Scientific Data Division has an immediate opening for a Computer Systems Engineer (CSE) who will join a team that is engaged in a wide array of research and development projects. This position will work with researchers and application scientists from the DOE Office of Science community, and faculty and students from universities both nationally and internationally, on a wide array of software development and data science problems serving the scientific mission.
The Scientific Data Division fosters breakthrough discoveries through the application and development of novel data science methods, technologies, and infrastructures in partnership with science domain experts.
The Usable Data Systems (UDS) group in the Scientific Data Division has an immediate opening for a Computer Systems Engineer (CSE) who will join a team that is engaged in a wide array of research and development projects. This position will work with researchers and application scientists from the DOE Office of Science community, and faculty and students from universities both nationally and internationally, on a wide array of software development and data science problems serving the scientific mission.
RequirementsRequired:
• Bachelor’s degree and 5 years of related experience; or three years and a Master’s degree; or an equivalent combination of education and work experience.
• Proficiency programming in JavaScript and exposure to other procedural or functional programming language(s).
• Experience gathering user requirements and designing, developing, and evaluating user interfaces using modern approaches and technologies. .
• Ability to conduct analysis and work independently.
• Strong English written and oral communication.
• Strong interpersonal skills for working in a diverse team environment.
Desired Qualifications:
• Bachelor’s degree and 8 years of related experience; or six years and a Master’s degree; or an equivalent combination of education and work experience.
• Demonstrated experience with the entire software development process, from requirements through design to implementation and deployment.
• Proficiency programming in Python.
• Experience with parallel and/or asynchronous programming.
• Experience with cloud computing.
• Experience with one or more JavaScript frameworks such as ReactJS or Angular.
• Experience working in cross-functional teams.
• Experience acting as a software project manager or software developer line manager.
• Experience leading cross-functional teams.
Company DescriptionLawrence Berkeley National Lab’s (LBNL) Scientific Data Division has an opening for a User Interface Developer to join the team.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Machine Learning Postdoctoral Fellow - 96992
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionMachine Learning Postdoctoral Fellow - 96992
Division: NE-NERSC
The National Energy Research Scientific Computing Center (NERSC, https://www.nersc.gov/) and Physics Division at Berkeley Lab (LBNL, https://www.lbl.gov/) are seeking a highly motivated Machine Learning Postdoctoral Fellow to join a novel project on systematic-aware AI benchmarking for High-Energy Physics (HEP).
We are building a supercomputer-scale AI ecosystem for sharing datasets, training large models, and hosting machine-learning challenges and benchmarks. This ecosystem will be initially exploited for an ML challenge series, based on novel datasets and progressively rolling in tasks of increasing difficulty, focussing on discovering and minimizing the effects of systematic uncertainties in HEP.
In this exciting role, you will work with a multidisciplinary team including machine learning researchers and physicists to build AI challenges, models and software that exploit supercomputers at NERSC.
NERSC and the LBL Physics division have established track records of enabling their postdocs to pursue careers in physics, machine learning and scientific computing in industry, national labs and academia.
What You Will Do:
• Create datasets, tasks, metrics and models to push the development of systematic-uncertainty aware AI techniques in particle physics and cosmology.
• Contribute to the running of AI challenges and the creation of long-lived benchmarks addressing compelling questions about the impact of systematic effects in AI models.
• Help develop an AI benchmark platform, interfaced to supercomputers at NERSC and capable of hosting datasets and models; producing new simulated datasets; applying new AI algorithms on existing datasets; and applying uploaded AI algorithms on new datasets.
• Disseminate results of research activities through refereed publications, reports, and conference presentations.
• Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged.
For full consideration, please apply by November 15, 2022.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242936 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: NE-NERSC
The National Energy Research Scientific Computing Center (NERSC, https://www.nersc.gov/) and Physics Division at Berkeley Lab (LBNL, https://www.lbl.gov/) are seeking a highly motivated Machine Learning Postdoctoral Fellow to join a novel project on systematic-aware AI benchmarking for High-Energy Physics (HEP).
We are building a supercomputer-scale AI ecosystem for sharing datasets, training large models, and hosting machine-learning challenges and benchmarks. This ecosystem will be initially exploited for an ML challenge series, based on novel datasets and progressively rolling in tasks of increasing difficulty, focussing on discovering and minimizing the effects of systematic uncertainties in HEP.
In this exciting role, you will work with a multidisciplinary team including machine learning researchers and physicists to build AI challenges, models and software that exploit supercomputers at NERSC.
NERSC and the LBL Physics division have established track records of enabling their postdocs to pursue careers in physics, machine learning and scientific computing in industry, national labs and academia.
What You Will Do:
• Create datasets, tasks, metrics and models to push the development of systematic-uncertainty aware AI techniques in particle physics and cosmology.
• Contribute to the running of AI challenges and the creation of long-lived benchmarks addressing compelling questions about the impact of systematic effects in AI models.
• Help develop an AI benchmark platform, interfaced to supercomputers at NERSC and capable of hosting datasets and models; producing new simulated datasets; applying new AI algorithms on existing datasets; and applying uploaded AI algorithms on new datasets.
• Disseminate results of research activities through refereed publications, reports, and conference presentations.
• Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged.
For full consideration, please apply by November 15, 2022.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242936 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• Ph.D. in Physics, Computer Science, Applied Mathematics, or another numerical science domain area.
• Demonstrably effective communication and interpersonal skills.
• Demonstrated ability to perform research individually and as part of a research group.
• Ability to contribute to a large software project.
• Ability to work productively both independently and as part of an interdisciplinary team, balancing objectives involving research and code development.
Desired Qualifications:
• Publication record and/or contributions to open source software projects commensurate with years of experience.
• Experience with machine learning/deep learning frameworks such as TensorFlow, PyTorch, scikit-learn.
• Experience in building and training ML/DL models.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Post Baccalaureate Fellow
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL) Applied Mathematics and Computational Research Division has an opening for a Post Baccalaureate Fellow to join the team.
In this exciting role, you will perform research in the field of scientific machine learning, assisting research staff in the applied mathematics and computational research division.
In this exciting role, you will perform research in the field of scientific machine learning, assisting research staff in the applied mathematics and computational research division.
RequirementsWhat is Required:
• Bachelor degree.
• Computer science or math background. Machine learning expertise. Coding experience in Python, C/C++, Matlab.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Machine Learning Postdoctoral Fellow
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionComputational Scientist Project Scientist - 97210
Division: DD-Data Science
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Data Science Division has an opening for a Computational Scientist Project Scientist to join the team.
In this exciting role, you will work on the development of scientific machine learning models, with an emphasis on the intersection of deep learning, dynamical systems, and robustness, in order to address questions such as how to build robust dynamical systems that are computational efficient and expressive for scientific and engineering machine learning problems. Among other things, this will involve leveraging tools from randomized numerical linear algebra to build algorithms for data-intensive applications such as fluid flows and climate science.
What You Will Do:
• Lead the design, development, and optimizations of machine learning algorithms for dynamical systems problems.
• Develop self-supervised and transfer learning methods for super-resolution tasks and data problems.
• Integrate these methods into ODE/PDE-based SciML pipelines.
• Development of robust and dynamical systems inspired neural network architectures, efficient training strategies for extracting knowledge from limited data, and data-driven modeling of scientific data.
• Develop and evaluate randomized implementations so they work efficiently with dense matrices, sparse matrices, and even abstract linear operators.
• Work closely with NERSC scientists and Machine Learning and Analytics scientists to deploy and evaluate the implementations of novel algorithms, including evaluation on fluid, climate, astronomy, etc., data.
• Provide training to colleagues and write excellent documentation, to elevate the work from a proof of concept to maintainable, long-lasting infrastructure.
Additional Responsibilities as needed:
• Experience in numerical analysis, statistics, machine learning, and numerical optimization.
• Experience in one or more application areas such as fluid flow, climate science, etc.
• Experience in machine learning development, including training and evaluation of neural network models.
• Experience creating, implementing, and applying data analysis methods and procedures.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full time, 2 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243107 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: DD-Data Science
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Data Science Division has an opening for a Computational Scientist Project Scientist to join the team.
In this exciting role, you will work on the development of scientific machine learning models, with an emphasis on the intersection of deep learning, dynamical systems, and robustness, in order to address questions such as how to build robust dynamical systems that are computational efficient and expressive for scientific and engineering machine learning problems. Among other things, this will involve leveraging tools from randomized numerical linear algebra to build algorithms for data-intensive applications such as fluid flows and climate science.
What You Will Do:
• Lead the design, development, and optimizations of machine learning algorithms for dynamical systems problems.
• Develop self-supervised and transfer learning methods for super-resolution tasks and data problems.
• Integrate these methods into ODE/PDE-based SciML pipelines.
• Development of robust and dynamical systems inspired neural network architectures, efficient training strategies for extracting knowledge from limited data, and data-driven modeling of scientific data.
• Develop and evaluate randomized implementations so they work efficiently with dense matrices, sparse matrices, and even abstract linear operators.
• Work closely with NERSC scientists and Machine Learning and Analytics scientists to deploy and evaluate the implementations of novel algorithms, including evaluation on fluid, climate, astronomy, etc., data.
• Provide training to colleagues and write excellent documentation, to elevate the work from a proof of concept to maintainable, long-lasting infrastructure.
Additional Responsibilities as needed:
• Experience in numerical analysis, statistics, machine learning, and numerical optimization.
• Experience in one or more application areas such as fluid flow, climate science, etc.
• Experience in machine learning development, including training and evaluation of neural network models.
• Experience creating, implementing, and applying data analysis methods and procedures.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full time, 2 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243107 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• PhD in Computer Science or Applied Mathematics, or a related field or equivalent combination of skills and experience.
• Significant experience in developing novel scientific machine learning methods.
• Experience in developing new numerical algorithms for optimization, linear algebra, data analysis, statistical models.
• Demonstrated record of scientific excellence through publications, talks, talks, or software deliverables.
• Ability to work collaboratively with a diverse team of scientists and engineers.
• Demonstrated expertise at successfully working in multidisciplinary teams. In particular, demonstrated expertise in coordinating machine learning teams.
• Ability to interact with a variety of technical and scientific personnel including Research Associates, Scientists and Software Engineers with varied academic backgrounds.
• Strong written and verbal communication skills to present and disseminate scientific software developments at group meetings and conferences.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Systems Software Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionHPC Systems Software Engineer - 97205
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for an HPC Systems Software Engineer to join the team.
In this exciting role, you are a combination of software and systems development role with more classical systems administration, set in a cloud-oriented High Performance Computing Environment. You will work with a diverse team of subject-matter experts, operational staff, and vendor affiliates to assure operational success for the computational systems. You are a member of a team responsible for analysis and 24x7 on-call support of world class HPC computational systems, including integrated networking and storage, as well as developing novel capabilities to integrate into the system to further scientific productivity and usability. You will work on maintaining existing operational systems, associated test systems, integrating new systems, and contributing to the operational design and development of future systems. Further, you will interface and work closely with colleagues both within the organization in cross-functional teams, as well as with vendors.
What You Will Do:
• Design, deploy, and manage High Performance Computational systems.
• Provide 24x7 on-call support and analysis of operational HPC systems.
• Develop new software and maintain existing software (typically in C and Python, other languages from time-to-time) to manage the system or extend system capabilities.
• Participate in team-oriented agile development and management process for HPC systems.
• Work closely with Infrastructure, Operations, Networking, Security, Storage, and User Engagements groups to assure smooth operation of the system and user experience.
Additional Responsibilities as needed:
• Define and then lead new collaborative projects influencing new functionality or major vendor interactions.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242929 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for an HPC Systems Software Engineer to join the team.
In this exciting role, you are a combination of software and systems development role with more classical systems administration, set in a cloud-oriented High Performance Computing Environment. You will work with a diverse team of subject-matter experts, operational staff, and vendor affiliates to assure operational success for the computational systems. You are a member of a team responsible for analysis and 24x7 on-call support of world class HPC computational systems, including integrated networking and storage, as well as developing novel capabilities to integrate into the system to further scientific productivity and usability. You will work on maintaining existing operational systems, associated test systems, integrating new systems, and contributing to the operational design and development of future systems. Further, you will interface and work closely with colleagues both within the organization in cross-functional teams, as well as with vendors.
What You Will Do:
• Design, deploy, and manage High Performance Computational systems.
• Provide 24x7 on-call support and analysis of operational HPC systems.
• Develop new software and maintain existing software (typically in C and Python, other languages from time-to-time) to manage the system or extend system capabilities.
• Participate in team-oriented agile development and management process for HPC systems.
• Work closely with Infrastructure, Operations, Networking, Security, Storage, and User Engagements groups to assure smooth operation of the system and user experience.
Additional Responsibilities as needed:
• Define and then lead new collaborative projects influencing new functionality or major vendor interactions.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242929 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• Typically requires a minimum of 8 years of related experience with a Bachelor’s degree in Computer Science or STEM-related field; or 6 years and a Master’s degree; or equivalent experience.
• Minimum of 2 years of experience with systems programming in linux environment or management of arge-scale Linux-based systems in a high-performance computing, cloud computing, or hyper-scale environment.
• Experience with C, bourne shell, and Python3 programming languages.
• Demonstrated ability to work independently as well as collaboratively in large projects, and contribute to an active and respectful intellectual environment.
• Excellent oral and written communication skills.
• Ability to derive technical solutions in a collaborative environment to meet end user requirements or needs.
Desired Qualifications:
• A minimum of 12 years linux experience with a minimum of 6 years of experience with the management of large-scale linux based systems in a HPC or Cloud environment, or have a strong community presence for developing one of the key technologies in use on NERSC systems.
• Demonstrated excellent systems programming skills and strong knowledge of Linux internals.
• Demonstrated ability to successfully lead complex projects.
• Development of kubernetes microservices using technologies like helm or loftsman for deployment.
• Operations of kubernetes, etcd.
• Infrastructure as code solutions like argo, terraform, ansible, puppet, salt.
• Rust or Go programming language.
• Gitlab or Github Continuous Integration and Project Management.
• Agile process, scrum.
• Linux kernel interfaces, cgroups, ebpf.
• Installation, configuration, monitoring, and tuning of workload management systems such as Slurm, PBSPro, or GridEngine.
• Monitoring solutions such grafana, prometheus, ldms.
• HPC systems administration.
• HPC applications analysis, MPI.
• Specialized networking (infiniband, slingshot, high-speed networks).
• Lustre, SpectrumScale (GPFS) or other parallel file systems.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Security Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionBerkeley Lab’s (LBNL, https://www.lbl.gov/) Energy Sciences Network (ESnet) Division is a scientific network that interconnects the DOE national laboratory system; is widely-regarded as a global innovator in network architectures, tools, and applications; and is currently the fastest scientific network in the world. This is a full time position on the ESnet security team, which is responsible for protecting ESnet assets, responding to computer security incidents, and advancing information security tools and architectures within the global R&E community in support of scientific inquiry.
We have an immediate opening for a Security Engineer (Computer Systems Engineer) to provide information security services and support to ESnet, primarily acting in a threat hunting and analyst role.
We have an immediate opening for a Security Engineer (Computer Systems Engineer) to provide information security services and support to ESnet, primarily acting in a threat hunting and analyst role.
RequirementsWhat is Required:
• Bachelor’s degree in computer science or related field with at least 4 years of experience in hands-on technical work in an operational setting; and/or an equivalent combination of experience and education.
• An understanding of security principles with a demonstrated ability to think from a risk perspective and with some depth in threat hunting and log analysis.
• Strong oral and written communication skills and a demonstrated history of working with other teams on common goals.
• Demonstrated ability to work with minimal prescriptive direction, able to determine what is needed to fulfill high level outcomes.
• Patience and persistence in service of improving the status quo towards our long term security vision.
• Able to work on multiple tasks and respond to rapidly changing priorities.
• Experience with Intrusion Detection Systems (IDS) and signature development.
• Hands on network/packet level examination using tools such as tcpdump or wireshark.
• Strong understanding of complex TCP/IP networks.
• Solid understanding of Linux operating systems.
• Background with a SIEM application or text manipulation tools such as awk and sed.
Desired Qualifications:
• Familiarity with R&E or with non-classified government work.
• Experience working within security trust groups sharing IOCs.
• Ability and demonstrated history of leading incident investigations or response.
• Experience working in a distributed environment and working remotely for those located outside Berkeley, CA or Champaign, IL.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computer Science Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Applied Mathematics and Computational Research Division (https://crd.lbl.gov/divisions/amcr/) has an opening for a Computer Science Postdoctoral Scholar to join the team.
In this exciting role, you will conduct fundamental and applied research in parallel discrete event simulation, load balancing, task scheduling, and reversible computation.
In this exciting role, you will conduct fundamental and applied research in parallel discrete event simulation, load balancing, task scheduling, and reversible computation.
RequirementsWhat is Required:
• PhD degree, within the last 3 years, in Computer Science, Computational Sciences, Computer Engineering or a related technical field.
• Demonstrated expertise in parallel computing and application performance analysis.
• Proficiency in modern C++ (C++11 or later).
• Ability to reason about the correctness and performance of asynchronous, parallel programs.
• Familiarity with performance optimization libraries, tools, and techniques.
• Familiarity with task-based or discrete event programming models.
• Familiarity with software engineering tools such as make and git.
• Ability to publish in top journals and conferences.
• Excellent verbal and written communication skills.
Desired Qualifications:
• Familiarity with parallel discrete event simulation (PDES) techniques.
• Experience with development and performance analysis of parallel simulations.
• Knowledge of load balancing and task scheduling algorithms.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Associate Director of Integrated Cyberinfrastructure
·
National Center for Supercomputing Applications
·
Urbana IL
Hide Details
SessionJob Postings
DescriptionJob Summary
The Associate Director of the Integrated Cyberinfrastructure (ICI) Directorate is a senior member of the NCSA Director's Office that works as part of a team on both setting NCSA strategy and executing on tactical directions. This position is actively engaged with leaders across campus with initiative development and follow-through as well as with other academic institutions and industry leaders. This position provides experienced management of technology development in support of advanced applications and communities across the disciplines, with the goal of delivering functional advanced technologies to NCSA's academic and industrial users.
Duties & Responsibilities
Strategic Direction and Leadership (50%)
• Set strategic direction for and provide leadership of NCSA’s Integrated Cyberinfrastructure (ICI) Directorate and the groups within it. This includes developing strategic plans for ICI and implementing policies and procedures to bring the strategic plans to fruition.
• Direct the ICI Directorate budgets and Memorandums of Understanding (MOUs) with regards to the NCSA / ICI mission and vision.
• Create a diverse and inclusive working environment for ICI staff that fosters collaboration, operational excellence, and innovation.
• Provide growth opportunities for ICI staff by creating transparent career paths and promoting professional development opportunities.
• Evaluate internal operating policies and procedures relating to ICI Directorate. Determine what changes / improvements should be made and implement said changes / improvements.
• Supervise ICI Division managers, including establishing strategic initiatives, assigning project tasks, staffing, setting goals and evaluating performance. The Associate Director will also work to empower managers and employees, define the broader context of their work, and explain how the team’s work contributes not only to the success of the ICI Directorate, but to NCSA as a whole.
• Participate in discussions with the NCSA Executive Committee and the Director on strategic issues to best position the Center for accomplishing its mission.
• Coordinate with Senior Associate Directors, Associate Directors, and team leaders to coordinate and leverage staff and expertise which may be useful between multiple NCSA divisions and groups.
• Direct and support staff in the proper implementation of University policy and procedures.
Engagement and Outreach (25%)
• Represent NCSA at key national and international meetings and in the community of cyberinfrastructure developers and relevant standards bodies.
• Represent NCSA in interactions with existing and prospective collaborators.
• Serve as an NCSA representative on advanced technology in support of science and engineering.
• Advance technology collaborations between ICI staff and UIUC faculty and students.
• Assist in supporting the business technology needs of NCSA.
• Provide input to national funding agencies for the creation of opportunities appropriate to advance efforts in support of NCSA’s mission and vision.
Research and Proposal Development (25%)
• Identify, develop, assess, and pursue funding opportunities that will advance NCSA’s mission, vision and strategic goals.
• Lead proposals and assist ICI Division managers on proposals to funding agencies, such as the National Science Foundation, Department of Energy, National Institutes of Health, etc. to develop advanced cyberinfrastructure.
• Lead ICI managers and staff in the development, deployment, and support of an advanced HPC/Data research environment.
The Associate Director of the Integrated Cyberinfrastructure (ICI) Directorate is a senior member of the NCSA Director's Office that works as part of a team on both setting NCSA strategy and executing on tactical directions. This position is actively engaged with leaders across campus with initiative development and follow-through as well as with other academic institutions and industry leaders. This position provides experienced management of technology development in support of advanced applications and communities across the disciplines, with the goal of delivering functional advanced technologies to NCSA's academic and industrial users.
Duties & Responsibilities
Strategic Direction and Leadership (50%)
• Set strategic direction for and provide leadership of NCSA’s Integrated Cyberinfrastructure (ICI) Directorate and the groups within it. This includes developing strategic plans for ICI and implementing policies and procedures to bring the strategic plans to fruition.
• Direct the ICI Directorate budgets and Memorandums of Understanding (MOUs) with regards to the NCSA / ICI mission and vision.
• Create a diverse and inclusive working environment for ICI staff that fosters collaboration, operational excellence, and innovation.
• Provide growth opportunities for ICI staff by creating transparent career paths and promoting professional development opportunities.
• Evaluate internal operating policies and procedures relating to ICI Directorate. Determine what changes / improvements should be made and implement said changes / improvements.
• Supervise ICI Division managers, including establishing strategic initiatives, assigning project tasks, staffing, setting goals and evaluating performance. The Associate Director will also work to empower managers and employees, define the broader context of their work, and explain how the team’s work contributes not only to the success of the ICI Directorate, but to NCSA as a whole.
• Participate in discussions with the NCSA Executive Committee and the Director on strategic issues to best position the Center for accomplishing its mission.
• Coordinate with Senior Associate Directors, Associate Directors, and team leaders to coordinate and leverage staff and expertise which may be useful between multiple NCSA divisions and groups.
• Direct and support staff in the proper implementation of University policy and procedures.
Engagement and Outreach (25%)
• Represent NCSA at key national and international meetings and in the community of cyberinfrastructure developers and relevant standards bodies.
• Represent NCSA in interactions with existing and prospective collaborators.
• Serve as an NCSA representative on advanced technology in support of science and engineering.
• Advance technology collaborations between ICI staff and UIUC faculty and students.
• Assist in supporting the business technology needs of NCSA.
• Provide input to national funding agencies for the creation of opportunities appropriate to advance efforts in support of NCSA’s mission and vision.
Research and Proposal Development (25%)
• Identify, develop, assess, and pursue funding opportunities that will advance NCSA’s mission, vision and strategic goals.
• Lead proposals and assist ICI Division managers on proposals to funding agencies, such as the National Science Foundation, Department of Energy, National Institutes of Health, etc. to develop advanced cyberinfrastructure.
• Lead ICI managers and staff in the development, deployment, and support of an advanced HPC/Data research environment.
RequirementsMinimum Qualifications
Bachelor’s degree in science, computer or computational science, engineering, or related field required. Minimum of ten (10) years of experience in activities associated with supporting research computing and data, and five (5) years of experience in management of technical personnel.
Preferred Qualifications
• Master’s degree or Ph.D. in science, computer science, engineering, or related field preferred.
• 10 years of experience in activities associated with technology development in a high-performance computing environment.
• Experience with scientific applications and/or scientific computing, including experience developing, deploying and supporting advanced cyberinfrastructure for high performance computing environments.
• Experience working with government agencies.
Knowledge, Skills and Abilities
Excellent interpersonal and human relations skills.
Excellent written and verbal communications skills.
Familiarity with program management.
Experience with large Cyberinfrastructure related awards.
Experience working with industrial partners on advanced technologies.
Company DescriptionThe National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign provides supercomputing and advanced digital resources for the nation's scientific enterprise. At NCSA, University of Illinois faculty, staff, students, and collaborators from around the globe use advanced digital resources to address and research grand challenges for the benefit of science and society. NCSA has been advancing one third of Fortune 50 companies for more than 30 years by bringing industry, researchers, and students together to solve grand challenges at rapid speed and scale.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Quantum Information Science Program Manager
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionBerkeley Lab (LBNL) is the home of world-class team science in service to the nation, and leads the Quantum Systems Accelerator (QSA), a 15-institution quantum information science (QIS) research center. Berkeley Lab’s Applied Math and Computational Research Division has an opening for a Quantum Information Science (QIS) Program Manager to support the QSA in achieving strategic program goals, maintaining relationships with high-level stakeholders in the academic, national laboratory, and industrial landscape, and managing the day-to-day operational aspects of scientific research and related quantum ecosystem activities.
RequirementsWhat is Required:
• Bachelor’s or advanced degree in a related field and/or equivalent training experience with 5 years of work experience including program planning, scheduling, and budgeting.
• Knowledge of scientific laboratory governance, policy and planning at the University and National Levels.
• General knowledge of program manager principles and tools.
• Experience coordinating the planning efforts for diverse programs of moderate size or portions of major programs.
• Experience anticipating potential customer needs and new research opportunities.
• Experience with accounting and budgeting principles and computer-based reporting systems.
• Demonstrated record in diplomacy, discretion, and trustworthiness.
• Excellent communication skills with the ability to communicate and influence effectively with all levels of staff, faculty, funding agencies, alumni/donors, students and external constituents, both verbally and in writing.
• Ability to manage others effectively, particularly in a non-hierarchical environment (experience with management styles that utilize persuasion rather than using authority to achieve collaborative goals and solutions).
• Ability to develop new organizational structures, processes, and policies in accordance with emerging strategies.
• Ability to work independently and within cross-functional teams to achieve desired outcomes
• Advanced analytical/problem-solving skills.
• Ability to work calmly and maintain good judgment in a fast-paced and dynamic environment.
• Effective at time- and project-management skills with the ability to prioritize work assignments, work collaboratively with others, and adjust schedules based on changing requirements.
• Familiarity with project management principles and tools.
Desired Qualifications:
• Bachelor’s or advanced degree in a related field and/or equivalent training experience and 8 years of related work experience in management of large programs and/or program management.
• Experience coordinating and/or leading the planning and control for moderate to large, complex programs.
• Demonstrated knowledge and skills in all aspects of program/ initiative planning, budgeting, and scheduling.
• Demonstrated success consulting and working effectively with senior leadership within a large organization.
• Familiarity with DOE National Laboratory management and policies.
• Active membership in scientific societies relevant to QIS.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computational Chemistry Postdoctoral Researcher
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionLawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Computational Research Division (https://crd.lbl.gov/) has an opening for a Computational Chemistry Postdoctoral Researcher - Employee to join the team.
In this exciting role, you will focus mainly on developing scalable numerical algorithms and high performance implementations to enable scientific discovery through advanced computing. The postdoc will participate in research activities related to the development of new mathematical formulations and algorithms for performing large-scale electronic structure calculations and molecular simulations required to model chemical reaction and dynamics of rare events for non-equilibrium systems using a variety of computational approaches.
In this exciting role, you will focus mainly on developing scalable numerical algorithms and high performance implementations to enable scientific discovery through advanced computing. The postdoc will participate in research activities related to the development of new mathematical formulations and algorithms for performing large-scale electronic structure calculations and molecular simulations required to model chemical reaction and dynamics of rare events for non-equilibrium systems using a variety of computational approaches.
RequirementsWhat is Required:
• Requires a Ph.D in Mathematics, Computer Science, Physical sciences (physics, chemistry and materials science), Computational Science or Engineering within the last 3 years, with a strong background in computational chemistry, computational physics or materials science.
• Knowledge of chemical reaction, e.g. transition state theory, molecular dynamics and Monte Carlo simulation.
• The ability to program proficiently in a high-level programming language, such as C++/C/FORTRAN, and should have experience in parallel computing and be able to use MPI and OpenMP.
• Familiar with electronic structure, molecular dynamics and Monte Carlo software tools.
• Ability to communicate effectively.
• Demonstrated ability to prepare research results for publication and presentation at seminars and scientific meetings.
Desired Qualifications:
• Knowledge of performance optimization for scientific software.
• Knowledge and experience with machine learning techniques is a plus.
• The ability to program on GPUs.
Company DescriptionBerkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
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2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Storage Analyst
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DataDirect Networks
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Remote
Hide Details
SessionJob Postings
DescriptionThe HPC Storage Analyst function is a customer facing role that is, at its core, focused on being a single point of contact and technical advisor for a strategic customer. The candidate must be able to manage customer expectations in demanding situations, provide technical support to a specific customer on routine management and operation of existing DDN equipment.
Job Functions/Responsibilities:
Be the main escalation point for the customer for high performance filesystem solutions
Resolve file system issues on large, scalable customer systems and ensure customer satisfaction
Responsible to liaise with sales, support and engineering teams for problem resolution
Demonstrate a thorough technical understanding of clients’ needs, including how those pertain to DDN products and services
Create test plans and procedures for customer upgrades and troubleshooting
Job Functions/Responsibilities:
RequirementsMinimum Requirements:
Must have 5+ years’ experience in a similar technical role
BSc in Electrical Engineering, Computer Science, Mathematics, Sciences, or equivalent
This position requires a TS/SCI clearance level
Experience supporting post-sales efforts is essential to success in this position
Proven in-depth technical knowledge and problem analysis skills
Must comply with all government mandated health and vaccination requirements
Essential Technical Requirements:
Experience in Lustre; administration/implementation/support
Strong knowledge of Linux architecture and fundamentals
Good understanding of the technical fundamentals of the system infrastructure including open system platforms (UNIX, Linux, Windows), networking, and file system.
Demonstrable understanding of data storage concepts: RAID/Erasure Coding, block storage, file systems, etc.
Understanding of networking concepts: IP, TCP, routing, etc.
Preferred Technical requirements include:
Other parallel filesystems such as Spectrum Scale or StorNext
Experience reading, writing and debugging shell and Python or Perl scripts
Networking (InfiniBand Definite Plus)
Experience working with NAS protocols: NFS, CIFS, FTP, sftp, etc.
Experience working with authentication protocols (Active Directory, LDAP)
Scripting Experience (Python, PHP, JavaScript..etc..)
Company DescriptionDataDirect Networks (DDN.com) is a world leader in massively scalable storage systems. Headquartered in Chatsworth, California, we are the leading provider of scalable high performance data storage. DDN enables its customers to extract value and deliver results from their information. Our customers include the world’s most data-intensive organizations and Enterprises, with use cases ranging from online content and social networking, high performance cloud and grid computing, artificial intelligence, machine learning, life sciences, media production, security and intelligence. Learn more about what DDN has to offer, its products and customers at www.ddn.com
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2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Storage Infrastructure Engineer
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionHPC Storage Infrastructure Engineer - 97183
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for an HPC Storage Infrastructure Engineer to join the team.
In this exciting role, you will join the Storage Systems Group which is made up of system engineers and programmers providing NERSC’s 300 petabyte High Performance Storage System and 100+ petabyte center-wide, parallel file systems. Our storage systems are utilized by more than 8,000 scientists who use NERSC to perform unclassified, scientific research across a wide range of disciplines, including climate modeling, research into new materials, simulations of the early universe, high energy physics and a host of other scientific endeavors. You will participate in regular cross-team efforts to integrate our storage systems with NERSC’s computational and networking infrastructure, troubleshoot performance issues at scale, and develop innovative solutions to continuously optimize operational and user productivity. The HPC Storage Infrastructure Engineer will also work with peers at other leading HPC facilities and vendor engineering teams to evaluate emerging storage technologies and define future directions for deployment.
What You Will Do:
• Monitor, administer, and optimize NERSC’s distributed parallel file systems, block storage arrays, and auxiliary Linux-based storage servers.
• Analyze, troubleshoot, and resolve complex problems that arise in NERSC's production storage hardware, software systems, storage networks and systems that utilize NERSC storage systems.
• Assist with architecting and evaluating storage systems and technologies based on analysis of user requirements, storage industry trends, and system monitoring and telemetry.
• Participate in the planning and execution of cross-team maintenance activities, upgrades, and deployments at scale.
• Provide off-hours emergency support in a shared, on-call rotation for a subset of NERSC storage systems.
Additional Responsibilities as needed:
• Prepare timely documentation, papers, and presentations describing best practices and experiences at scale for dissemination within NERSC and throughout the broader HPC community.
• Assess emerging technologies in architecture, device technology, and high-performance I/O APIs to provide input for HPC system procurements and DOE technology roadmaps.
• Proactively seek opportunities to collaborate with researchers, operators, and vendors across the global HPC community to apply the best ideas and solutions to solving NERSC's technical challenges.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242933 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division has an opening for an HPC Storage Infrastructure Engineer to join the team.
In this exciting role, you will join the Storage Systems Group which is made up of system engineers and programmers providing NERSC’s 300 petabyte High Performance Storage System and 100+ petabyte center-wide, parallel file systems. Our storage systems are utilized by more than 8,000 scientists who use NERSC to perform unclassified, scientific research across a wide range of disciplines, including climate modeling, research into new materials, simulations of the early universe, high energy physics and a host of other scientific endeavors. You will participate in regular cross-team efforts to integrate our storage systems with NERSC’s computational and networking infrastructure, troubleshoot performance issues at scale, and develop innovative solutions to continuously optimize operational and user productivity. The HPC Storage Infrastructure Engineer will also work with peers at other leading HPC facilities and vendor engineering teams to evaluate emerging storage technologies and define future directions for deployment.
What You Will Do:
• Monitor, administer, and optimize NERSC’s distributed parallel file systems, block storage arrays, and auxiliary Linux-based storage servers.
• Analyze, troubleshoot, and resolve complex problems that arise in NERSC's production storage hardware, software systems, storage networks and systems that utilize NERSC storage systems.
• Assist with architecting and evaluating storage systems and technologies based on analysis of user requirements, storage industry trends, and system monitoring and telemetry.
• Participate in the planning and execution of cross-team maintenance activities, upgrades, and deployments at scale.
• Provide off-hours emergency support in a shared, on-call rotation for a subset of NERSC storage systems.
Additional Responsibilities as needed:
• Prepare timely documentation, papers, and presentations describing best practices and experiences at scale for dissemination within NERSC and throughout the broader HPC community.
• Assess emerging technologies in architecture, device technology, and high-performance I/O APIs to provide input for HPC system procurements and DOE technology roadmaps.
• Proactively seek opportunities to collaborate with researchers, operators, and vendors across the global HPC community to apply the best ideas and solutions to solving NERSC's technical challenges.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242933 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• Bachelor’s degree and a minimum of eight years of related experience; or six years and a Master’s degree; or equivalent experience.
• Experience using one or more interpreted programming or scripting languages such as Python and Bash to automate system management tasks.
• Experience with setup and administration of one or more HPC storage system technologies (e.g., Lustre, Spectrum Scale, HPSS).
• Working knowledge of parallel storage technologies such as distributed storage systems, parallel file systems, object stores, hierarchical storage management, storage networking, and/or relevant hardware technologies.
• Strong written and verbal communication skills and the ability to document and describe complex tasks to audiences of varying familiarity with storage technologies.
• Ability to work effectively and collaboratively on a team, as well as give and receive constructive feedback to foster communication and trust.
• Strong sense of intellectual curiosity, self-direction, and desire to pursue challenging problems and understand complex systems.
Desired Qualifications:
• Bachelor’s degree and a minimum of twelve years of computing or storage experience; or eight years and a Master’s degree; or equivalent experience.
• Demonstrated contributions to the high-performance storage community (e.g., conference presentations, open source software).
• Experience leading technical projects in a highly collaborative team environment.
• Strong understanding of Linux fundamentals including file systems, networking, and virtual memory management.
• Understanding of file system internals, prior work developing storage systems, or experience troubleshooting and optimizing parallel I/O.
• Strong organizational skills and ability to effectively manage priorities across many projects ranging from immediate problem resolution to long-term strategic planning.
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2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Senior DevOps Engineer
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Purdue University
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Remote
Hide Details
SessionJob Postings
DescriptionAs a Senior DevOps Engineer, you will work in a hybrid systems and researcher-facing role, focused on facilitating the adoption of the novel computing resources of the $10M NSF-funded Anvil supercomputer.
You will facilitate the use of large-scale research computing systems and provide researchers with computational tools and expertise needed to address questions raised by cutting edge research. This position will utilize creativity and innovation to solve computing problems raised by researchers. You will work collaboratively with other staff, campus researchers, national partners and vendors to implement novel computing and data technologies. You will diagnose a wide range of computing problems; design, code, test, debug, install, document and maintain complex programs. As the Senior DevOps Engineer, you will conduct regular training workshops for researchers on computational tools. You will also participate in national computing activities by attending workshops, conferences, and potentially presenting research.
As part of this job you will have the opportunity to learn about the latest advances in high-performance and cloud computing, interact with researchers in academia and industry, and have access to cutting edge hardware and software for scientific computing, including access to the NSF-funded Anvil supercomputer.
Collaborate with a national audience of researchers to facilitate the adoption of Anvil’s novel computing resources; the Kubernetes-based Anvil Composable Subsystem, Open OnDemand and Thinlinc interactive computing capabilities
Use DevOps methodologies to develop efficient and cloud-native approaches to scientific computing workflows, including science gateway deployment, deployment of elastic software stacks and interactions between Anvil’s composable, interactive and batch computing resources
Provide consultation to researchers to determine appropriate solutions based on researchers’ computing needs
Identify and implement techniques and tools to improve scientific computing workflows
Respond to user requests, inquiries and issues pertaining to usage of and access to the novel Anvil computing resources. Provide support for onboarding, account creation, access management and education for secure usage of resources
Resolve user requests and service incidents in a timely manner, supporting the team to perform root cause analysis and producing documentation of results and lessons learned
You will facilitate the use of large-scale research computing systems and provide researchers with computational tools and expertise needed to address questions raised by cutting edge research. This position will utilize creativity and innovation to solve computing problems raised by researchers. You will work collaboratively with other staff, campus researchers, national partners and vendors to implement novel computing and data technologies. You will diagnose a wide range of computing problems; design, code, test, debug, install, document and maintain complex programs. As the Senior DevOps Engineer, you will conduct regular training workshops for researchers on computational tools. You will also participate in national computing activities by attending workshops, conferences, and potentially presenting research.
As part of this job you will have the opportunity to learn about the latest advances in high-performance and cloud computing, interact with researchers in academia and industry, and have access to cutting edge hardware and software for scientific computing, including access to the NSF-funded Anvil supercomputer.
Collaborate with a national audience of researchers to facilitate the adoption of Anvil’s novel computing resources; the Kubernetes-based Anvil Composable Subsystem, Open OnDemand and Thinlinc interactive computing capabilities
Use DevOps methodologies to develop efficient and cloud-native approaches to scientific computing workflows, including science gateway deployment, deployment of elastic software stacks and interactions between Anvil’s composable, interactive and batch computing resources
Provide consultation to researchers to determine appropriate solutions based on researchers’ computing needs
Identify and implement techniques and tools to improve scientific computing workflows
Respond to user requests, inquiries and issues pertaining to usage of and access to the novel Anvil computing resources. Provide support for onboarding, account creation, access management and education for secure usage of resources
Resolve user requests and service incidents in a timely manner, supporting the team to perform root cause analysis and producing documentation of results and lessons learned
RequirementsEducation and Experience
Must have:
Bachelor’s degree
A minimum of four (4) years of experience in developing and deploying software solutions using containers and Kubernetes
An equivalent combination of education and/or experience will be accepted
Skills that look good:
Ability to work as part of a high performing, diverse team in a collaborative environment
Success working with stakeholders to integrate cloud native computing techniques to solve business or research problems
Knowledge of Kubernetes and container runtime interfaces (Docker)
Experience using DevOps methodologies, Infrastructure as Code (IaC)
Knowledge of Linux operating system
Knowledge of scripting languages and version control, i.e. Shell, Python, Git
Ability to plan, organize and prioritize tasks, and complete projects with minimal supervision
Effective verbal and written English communication skills
Ability to effectively consult with researchers, make presentations, develop and present training material, and develop documentation
Additional Information:
All new hires will be expected to follow Protect Purdue
Purdue University will not sponsor employment authorization for this position
A background check will be required for employment in this position
FLSA: Exempt (Not Eligible for Overtime)
Retirement Eligibility: Defined Contribution Waiting Period
Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply
Benefit Statement: Purdue University offers a substantial Benefit Package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days
Company DescriptionPurdue University’s Rosen Center for Advanced Computing provides access to leading
edge computational and data storage systems as well as expertise in a broad range of high
performance computing activities. To fulfill our mission, we:
provide advanced computational resources and services to support Purdue faculty and staff researchers
evaluate, deploy, and support hardware and software for large scale scientific computing
promote the effective use of our research computing systems and application software through training and education, consultation, and documentation
contribute to the discovery process through algorithm design and development of effective computing techniques
Purdue University’s Rosen Center for Advanced Computing is committed to promoting and advancing all forms of diversity, equity, inclusion and access (DEIA) to create an environment and culture where the uniqueness of individuals is celebrated and persons from all backgrounds can thrive.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Engineer, System Acceptance and User Environment (Early Career)
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Oak Ridge National Laboratory
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Oak Ridge, TN
Hide Details
SessionJob Postings
DescriptionThe Organization
The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility.
The Team
The System Acceptance and User Environment Group of the Operations Section ensures the functionality, performance, and usability of new NCCS systems through activities such as test development, acceptance, software installation, documentation, and early user support for all NCCS pre-production systems. The group supports the NCCS in delivering robust and resilient integrated ecosystems to its user community, as well as the ubiquitous need for data orchestration and workflow management requirements that come as part of an evolving convergence of high-performance computing(HPC)and data analytics.
Major Duties/Responsibilities
The role comprises the following primary functions:
Take technical ownership of user reported problems and provide hands-on support for scientific applications and libraries and users of high performance computing systems and clusters
Compile and debug large science and engineering applications.
Identify and resolve system-level bugs in conjunction with other technical staff
Work with vendors to resolve issues and implement changes as necessary.
Install third-party software applications and tools and provide documentation for usage
Develop and execute system tests to ensure newly deployed systems can support user workloads
Proactively ensure that users have up-to-date information about the system, including any changes and their impact on the users. HPC User Support staff are very involved in researching and developing documentation and reference material during system early-use and upgrade phases, as well as maintaining them throughout system operation
Participate in the development, maintenance, and delivery of training and outreach materials to users
Respond to general administrative questions (e.g., system status, requests for accessor special accommodation)
Implement special projects as requested (e.g., metrics, cyber security, policy discussions)
Basic Qualifications
Bachelor’s degree in computer science or related field
Prior experience with multiple programming languages and technologies including at least one of the following:
Fortran
C
C++
Perl
Python
Shell scripting (e.g., bash, ksh) in a Linux or Unix environment
Preferred Qualifications
Bachelor’s degree and 2+ years of relevant experience, or MS and 1+ year of relevant experience
Experience building and installing scientific software and other 3rd party software applications on HPC systems
Experience with HPC schedulers and resource managers
Experience executing scientific software on HPC systems
Experience writing user documentation
Experience developing and delivering training for users
Strong technical and analytical skills
Strong verbal and written communication skills
Maintains the highest level of professionalism at all times when interacting with internal and external customers
Demonstrates a high-energy, positive attitude and commitment to quality customer service
Contributes to a positive team environment within the center by demonstrating a strong work ethic, effectively communicating with others, and proactively anticipating center and user needs
Experience coordinating and running support teams
Understanding of the requirements of a DOE, DoD, and/or NSF HPC center
Benefits
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility.
The Team
The System Acceptance and User Environment Group of the Operations Section ensures the functionality, performance, and usability of new NCCS systems through activities such as test development, acceptance, software installation, documentation, and early user support for all NCCS pre-production systems. The group supports the NCCS in delivering robust and resilient integrated ecosystems to its user community, as well as the ubiquitous need for data orchestration and workflow management requirements that come as part of an evolving convergence of high-performance computing(HPC)and data analytics.
Major Duties/Responsibilities
The role comprises the following primary functions:
Take technical ownership of user reported problems and provide hands-on support for scientific applications and libraries and users of high performance computing systems and clusters
Compile and debug large science and engineering applications.
Identify and resolve system-level bugs in conjunction with other technical staff
Work with vendors to resolve issues and implement changes as necessary.
Install third-party software applications and tools and provide documentation for usage
Develop and execute system tests to ensure newly deployed systems can support user workloads
Proactively ensure that users have up-to-date information about the system, including any changes and their impact on the users. HPC User Support staff are very involved in researching and developing documentation and reference material during system early-use and upgrade phases, as well as maintaining them throughout system operation
Participate in the development, maintenance, and delivery of training and outreach materials to users
Respond to general administrative questions (e.g., system status, requests for accessor special accommodation)
Implement special projects as requested (e.g., metrics, cyber security, policy discussions)
Basic Qualifications
Bachelor’s degree in computer science or related field
Prior experience with multiple programming languages and technologies including at least one of the following:
Fortran
C
C++
Perl
Python
Shell scripting (e.g., bash, ksh) in a Linux or Unix environment
Preferred Qualifications
Bachelor’s degree and 2+ years of relevant experience, or MS and 1+ year of relevant experience
Experience building and installing scientific software and other 3rd party software applications on HPC systems
Experience with HPC schedulers and resource managers
Experience executing scientific software on HPC systems
Experience writing user documentation
Experience developing and delivering training for users
Strong technical and analytical skills
Strong verbal and written communication skills
Maintains the highest level of professionalism at all times when interacting with internal and external customers
Demonstrates a high-energy, positive attitude and commitment to quality customer service
Contributes to a positive team environment within the center by demonstrating a strong work ethic, effectively communicating with others, and proactively anticipating center and user needs
Experience coordinating and running support teams
Understanding of the requirements of a DOE, DoD, and/or NSF HPC center
Benefits
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
Company DescriptionAs the largest Department of Energy science and energy laboratory, ORNL engages in diverse research activities that support the department’s mission of ensuring America’s security and prosperity by addressing its energy, environmental and security challenges.
Leveraging the talents of its world-class researchers and exceptional support staff, Oak Ridge National Laboratory is helping solve critical scientific and technical challenges and, in so doing, creating economic opportunity for the nation. ORNL provides access to unique facilities, laboratories, and equipment, drawing thousands of visiting researchers each year. A vibrant and welcoming scientific community, ORNL embraces the pursuit of innovative ideas and invests in its people to ensure their success.
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Intern (FaST)
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KLA
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Milpitas, California
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India.
Responsibilities
The Intern will work on design and development of next generation Optical CD/Film Metrology Tools in our FaST division.
This important role will include creating and analyzing requirements, designing, implementing, testing and delivering software features.
Other responsibilities will include interfacing with multi-disciplinary teams in the U.S. and Overseas teams.
Responsibilities
The Intern will work on design and development of next generation Optical CD/Film Metrology Tools in our FaST division.
This important role will include creating and analyzing requirements, designing, implementing, testing and delivering software features.
Other responsibilities will include interfacing with multi-disciplinary teams in the U.S. and Overseas teams.
RequirementsQualifications
Knowledge in one of the following programming languages: C++ OR C#.
Good understanding of Objected-Oriented Design or Programming.
Experience in WPF GUI design.
Preferred Qualifications
Knowledge of SQL or MongoDB is a plus.
Familiar with Image Processing is a plus.
Minimum Qualifications
Some College
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Postdoc Researcher in Machine Learning
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Brookhaven National Laboratory
·
Upton, NY
Hide Details
SessionJob Postings
DescriptionThe Machine Learning Group at Brookhaven Lab’s Computational Science Initiative (CSI) invites exceptional candidates to apply for a post-doctoral research associate position in machine learning (ML) and natural language processing (NLP). This position offers a distinct opportunity to conduct research in emerging interdisciplinary research problems at the intersection of data science, ML, and NLP with applications in diverse scientific domains of interest to the Lab and the U.S. Department of Energy (DOE).
Topics of specific interest include: (i) novel development and adaptation of existing ML and NLP models for scientific and security applications; (ii) exploitation of large frozen models (e.g., large language models) to support or enhance application-specific tasks, including via development of helper models and integration with external resources; (iii) multi-modal and multi-task large ML models; and (iv) interpretability/explainability and visualization techniques for scientific ML applications.
The position includes access to world-class HPC resources, such as the Brookhaven Institutional Cluster and DOE Leadership Computing Facilities, which allows for computing at scale and will ensure the successful candidate has the necessary resources to solve challenging DOE problems of interest.
This program provides full support for a period of two years at CSI with possible extension. Candidates must have received a doctorate (Ph.D.) in applied mathematics, statistics, computer science, or a related field (e.g., mathematics, engineering, operations research, physics) within the past five years. This post-doc position affords a unique chance to conduct interdisciplinary collaborative research as part of Brookhaven Lab programs with a highly competitive salary.
Topics of specific interest include: (i) novel development and adaptation of existing ML and NLP models for scientific and security applications; (ii) exploitation of large frozen models (e.g., large language models) to support or enhance application-specific tasks, including via development of helper models and integration with external resources; (iii) multi-modal and multi-task large ML models; and (iv) interpretability/explainability and visualization techniques for scientific ML applications.
The position includes access to world-class HPC resources, such as the Brookhaven Institutional Cluster and DOE Leadership Computing Facilities, which allows for computing at scale and will ensure the successful candidate has the necessary resources to solve challenging DOE problems of interest.
This program provides full support for a period of two years at CSI with possible extension. Candidates must have received a doctorate (Ph.D.) in applied mathematics, statistics, computer science, or a related field (e.g., mathematics, engineering, operations research, physics) within the past five years. This post-doc position affords a unique chance to conduct interdisciplinary collaborative research as part of Brookhaven Lab programs with a highly competitive salary.
RequirementsPosition Requirements:
• Ph.D. in computer science, statistics, applied mathematics, or a related field (e.g., operations research, physics, mathematics, engineering) awarded within the last five years
• Programming experience in machine learning, scientific modeling, or scientific computing
• Practical experience in implementing machine learning algorithms on machine learning platforms (PyTorch, TensorFlow, JAX, DeepSpeed, etc.)
• Communications and interpersonal skills to interact effectively with a diverse group of scientists, engineers, and technical staff.
• Moderate domestic and foreign travel may be required.
Essential Duties and Responsibilities:
• Conduct research in various machine learning and natural language processing problems in the context of scientific discovery and workflow acceleration
• Implement and adapt machine learning and natural language processing algorithms for scientific and security applications
• Work in interdisciplinary collaborations with applied domain scientists on various aspects of scientific data generation, collection, curation and processing
• Formulate own high-quality research ideas and directions in collaboration with mentors in the group
• Communicate research progress, challenges and achievements, and engage within and beyond CSI on new potential collaborations.
Preferred Knowledge, Skills, and Abilities:
• Practical experience developing novel scientific machine learning or natural language processing algorithms and models
• Experience in scientific machine learning applied to domain sciences problems (e.g., in physical sciences, life sciences, or engineering)
• Experience with large language models, prompt engineering, prompt learning (in data and feature space), and multi-modal large machine learning models
• Experience with Explainable/Interpretable Artificial Intelligence and data and model visualization techniques.
Company DescriptionBrookhaven National Laboratory (www.bnl.gov) is a multidisciplinary laboratory that delivers discovery science and transformative technology to power and secure the nation’s future. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates, a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University, operates and manages the Laboratory for DOE. Brookhaven Lab's Computational Science Initiative (www.bnl.gov/compsci/) excels at integrating computer science, applied mathematics, data science, quantum and computational science with broad domain expertise. These diverse efforts now support the Lab-wide Human-AI-Facility Integration (HAI-FI) Initiative, connecting humans and machines via artificial intelligence to enable hypothesis-guided autonomous research. HAI-FI engages all aspects of computing, affording real-time human–machine collaborations that work together to achieve the best path toward advanced knowledge and impactful scientific discovery.
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2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Intern
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KLA
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Ann Arbor, Michigan
Hide Details
SessionJob Postings
DescriptionAn intern with the AI and Modeling Center of excellence will work in one or more of the following areas:
Interns will be technically supported and mentored throughout their stay with KLA.
Work with traditional Machine Learning and Deep Learning techniques to meet and improve results on KLA products.
Experiment with new and novel techniques to improve results or reduce compute cost of various modeling techniques.
Build tools for more efficient experimentation.
Manage data used for training and experimentation of AI and Physics Modeling Systems.
Image processing.
Speeding up physics models.
Developing software tools and solutions for KLA products.
Interns will be technically supported and mentored throughout their stay with KLA.
Work with traditional Machine Learning and Deep Learning techniques to meet and improve results on KLA products.
Experiment with new and novel techniques to improve results or reduce compute cost of various modeling techniques.
Build tools for more efficient experimentation.
Manage data used for training and experimentation of AI and Physics Modeling Systems.
Image processing.
Speeding up physics models.
Developing software tools and solutions for KLA products.
RequirementsMinimum Qualifications
Some College or work experience of 0 years
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Software Engineer, CMS
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Purdue University
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Remote
Hide Details
SessionJob Postings
DescriptionAs a Research Software Engineer, you will support the advanced cyberinfrastructure of the Purdue CMS Tier-2 site. As part of this job you will have the opportunity to learn about the latest advances in computing by interacting with a worldwide collaboration of high-energy physics (HEP) researchers. You will support the data analysis needs of researchers by working with cutting edge hardware and software, including high-performance and high-throughput computing clusters, GPUs, FPGAs and the latest technologies in containerization and virtualization.
We are looking for a self-motivated individual with good problem solving skills who can apply creativity and innovation to solve computing problems
Responsibilities:
Collaborate with physics research groups to gather hardware and software requirements, review priorities, and plan development tasks with timelines.
Design, develop, test, debug, implement and maintain research hardware, software, software services and integrated systems.
Use DevOps methodologies to develop efficient and cloud-native approaches to HEP data analysis workflows.
Provide consultation to researchers to determine appropriate solutions based on computing needs.
Identify and implement techniques and tools to improve HEP computing workflows.
We are looking for a self-motivated individual with good problem solving skills who can apply creativity and innovation to solve computing problems
Responsibilities:
Collaborate with physics research groups to gather hardware and software requirements, review priorities, and plan development tasks with timelines.
Design, develop, test, debug, implement and maintain research hardware, software, software services and integrated systems.
Use DevOps methodologies to develop efficient and cloud-native approaches to HEP data analysis workflows.
Provide consultation to researchers to determine appropriate solutions based on computing needs.
Identify and implement techniques and tools to improve HEP computing workflows.
RequirementsWhat We’re Looking For:
Education and Experience:
Bachelor’s degree required; those with an M.Sc. or Ph.D are encouraged to apply.
Two years experience managing Linux based systems. Equivalent combination of education and/or experience may be accepted.
Skills:
Ability to work as part of a high performing, diverse team in a collaborative environment
Ability to plan, organize and prioritize tasks, and complete projects
Experience with the Linux Operating System
Proficiency in scripting languages (BASH, Python)
Experience with Kubernetes and Linux containerization technologies like Docker
Familiarity with version control, DevOps and infrastructure-as-code concepts and tools
Experience with software engineering for scientific software applications
Experience with hardware accelerators (GPUs, FPGAs) is preferred, but not required.
Effective verbal and written English communication skills
Additional Information:
All new hires will be expected to follow Protect Purdue
A background check will be required for employment in this position
FLSA: Exempt (Not Eligible for Overtime)
Retirement Eligibility: Defined Contribution Waiting Period
Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply
Benefit Statement: Purdue University offers a substantial Benefit Package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days.
Company DescriptionPurdue University’s Rosen Center for Advanced Computing provides access to leading
edge computational and data storage systems as well as expertise in a broad range of high
performance computing activities. To fulfill our mission, we:
provide advanced computational resources and services to support Purdue faculty and staff researchers
evaluate, deploy, and support hardware and software for large scale scientific computing
promote the effective use of our research computing systems and application software through training and education, consultation, and documentation
contribute to the discovery process through algorithm design and development of effective computing techniques
Purdue University’s Rosen Center for Advanced Computing is committed to promoting and advancing all forms of diversity, equity, inclusion and access (DEIA) to create an environment and culture where the uniqueness of individuals is celebrated and persons from all backgrounds can thrive.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Engineer
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SLAC National Accelerator Laboratory
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Menlo Park, CA
Hide Details
SessionJob Postings
DescriptionWe're a research group within SLAC, headed by Alex Aiken (https://theory.stanford.edu/~aiken/). We focus on fundamental CS research that has the potential to impact science, mainly in the areas of high-performance and distributed computing, programming languages, compilers, networks, operating systems, etc. One of our major projects is Legion, a forward-looking programming system for distributed computing (https://legion.stanford.edu/). Legion has been used to create new programming languages (https://regent-lang.org/), seamless distributed NumPy (https://developer.nvidia.com/cunumeric), and a drop-in replacement for Keras and PyTorch (https://flexflow.ai/), among many other things.
We are looking for strong scientists and engineers to join our group. For clarity (because these terms vary by industry/company), scientists mainly focus on producing research results (e.g., papers and research software) while engineers mainly focus on software development and deliverables (e.g., system or application implementation). For scientist positions please expect to provide a CV with relevant publications.
(Note there are two versions of this posting, one for scientist and one for engineer.)
We are looking for strong scientists and engineers to join our group. For clarity (because these terms vary by industry/company), scientists mainly focus on producing research results (e.g., papers and research software) while engineers mainly focus on software development and deliverables (e.g., system or application implementation). For scientist positions please expect to provide a CV with relevant publications.
(Note there are two versions of this posting, one for scientist and one for engineer.)
RequirementsM.S. or Ph.D. (preferred) in Computer Science or a closely related discipline.
Demonstrated ability to carry out independent design and implementation in the area of runtime systems, compilers, or distributed computing.
Demonstrated effective written and verbal communication skills.
Demonstrated ability to work and communicate effectively with a diverse population.
Demonstrated ability to work independently and in a team environment.
Company DescriptionSLAC is operated by Stanford University on behalf of the U.S. Department of Energy.
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·
2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Algo Internship
·
KLA
·
Milpitas, California
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Surfscan group includes a team of engineers, technology development, apps engineers and product marketing focused on technology that enables wafer, IC and equipment manufacturers to develop, qualify and monitor their process tools. Defects and process non-uniformities detected on Surfscan equipment allow for early identification of yield excursions. The flagship Surfscan products include the SPx platforms for wafer surface quality and wafer defect inspection tools and systems for inspection of polished wafers, epi wafers and engineered substrates during the wafer fabrication process.
Job Description/Preferred Qualifications
The job focuses on the development of image, signal processing and artificial intelligence algorithms for the next generations of optical inspection and metrology systems.
The position requires a proven innovative track record and solid fundamental knowledge in the related fields of algorithm development, including image segmentation, texture analysis, classification, feature extraction, statistical data analysis, signal processing, filter theory, machine learning, deep learning.
C/C++, Matlab/Python programing skills are must have. CPU optimization (SSE/AVX) and GPU (CUDA) programming are among the highly desired skills too.
The responsibilities of this position cover the entire life cycle of algorithms, including modeling, proof-of-concept design, production software design and implementation, performance characterization, documentation and user support. Since algorithms can affect many aspects of the system, significant amount of time be spent on cross-function team collaboration for prototyping and testing.
The candidate needs to be a self-motivated individual with ability to work independently and/or in a team. Strong written and verbal communications skills are needed for extensive interactions with members of a multi-disciplinary global team.
Job Description/Preferred Qualifications
The job focuses on the development of image, signal processing and artificial intelligence algorithms for the next generations of optical inspection and metrology systems.
The position requires a proven innovative track record and solid fundamental knowledge in the related fields of algorithm development, including image segmentation, texture analysis, classification, feature extraction, statistical data analysis, signal processing, filter theory, machine learning, deep learning.
C/C++, Matlab/Python programing skills are must have. CPU optimization (SSE/AVX) and GPU (CUDA) programming are among the highly desired skills too.
The responsibilities of this position cover the entire life cycle of algorithms, including modeling, proof-of-concept design, production software design and implementation, performance characterization, documentation and user support. Since algorithms can affect many aspects of the system, significant amount of time be spent on cross-function team collaboration for prototyping and testing.
The candidate needs to be a self-motivated individual with ability to work independently and/or in a team. Strong written and verbal communications skills are needed for extensive interactions with members of a multi-disciplinary global team.
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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·
2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Algorithm Engineering Intern (RAPID)
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KLA
·
Milpitas, California
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing.
Responsibilities:
KLA is seeking a motivated individual for an engineering intern position in a world-class algorithm group within the reticle product division (RAPID). Our intern will work in one or more of the following areas
Computational geometry
Image processing
Work with traditional machine learning and deep learning techniques to meet and improve results on KLA products
Develop software tools and solutions for KLA products
Responsibilities:
KLA is seeking a motivated individual for an engineering intern position in a world-class algorithm group within the reticle product division (RAPID). Our intern will work in one or more of the following areas
Computational geometry
Image processing
Work with traditional machine learning and deep learning techniques to meet and improve results on KLA products
Develop software tools and solutions for KLA products
RequirementsQualifications
Pursuing a PhD Level Degree in Applied Math, Applied Physics, Electrical Engineer, Computer Science or related field
Algorithm development with C++ & Python in Unix/Linux environment
Excellent communication and interpersonal skills
Motivated to learn new skills independently
Minimum Qualifications
Some College (students pursuing a PhD Level Degree)
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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·
2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Development Manager
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scherbringea@ornl.gov
·
Oak Ridge, TN
Hide Details
SessionJob Postings
DescriptionThe Organization:
The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility.
The Team:
The Software Services Development (SSD) group writes and maintains large web applications and web APIs used by both staff and end-users of the National Center for Computational Sciences (NCCS) computational ecosystem. One of the largest applications the group develops and maintains is the NCCS customer relationship management tool. This tool provides a full-featured CRM solution for storing and organizing a broad set of relational data pertaining to the center’s users, projects, allocations, funding sources, file system directories, batch jobs, etc. In addition, it directly controls many of the day-to-day operational needs of the NCCS in real-time such as generating batch scheduler configurations, maintaining mailing lists, populating LDAP instances, and emailing end-users. It disseminates data through a RESTful API that staff use for operational automation and reporting.
Purpose:
We are seeking an individual that will provide leadership to the Software Services Development group. The technical focus of the group's work is on internal and externally-facing web applications and APIs that are critical to the day-to-day operations of the NCCS, and by extension, ORNL’s aspiration to be the world’s premier R&D institution.
Major Duties/Responsibilities:
In this role, you will lead and advocate for a diverse and talented group of software engineers, guide their technical work, and expand their ranks with new hires when needed. You will develop a vision and implement a cohesive group strategy to ensure the success of new and ongoing technical projects to position the group and the organization for future success.
You will have the opportunity to:
Cultivate an environment where team members are empowered and demonstrate a strong sense of ownership and belonging
Meet with team members on a regular basis to support day-to-day work
Coach your team by providing technical leadership and candid, ongoing feedback and mentoring
Lead successful technical projects, ensuring high-quality and timely delivery of features and fixes
Oversee the development and implementation of software features/controls to mitigate technical risks
Review code and ensure the team builds software that is architecturally consistent, of high quality, and follows operational best practices
Work with other teams across the division to meet the division's operational challenges
Help bring clarity to the team by fostering clear communication, understanding, and process improvements
Accountabilities:
To group staff, for the quality and safety of their work environment and opportunities for professional growth
To the Operations Section Head, for world-leading technical directions; for safe, effective, compliant operations; for ownership of assigned staff, facilities, and equipment; and for the quality of the group's products and services
To the Division's end-users, for the quality of the group's products and services offered to them
Authorities:
To develop a vision and implement a strategy to pursue world-leading technical/technology directions for the group
To hold staff accountable for performance
To act to ensure safe and effective operations
To hire staff
To certify the technical quality of the group’s products and services
The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility.
The Team:
The Software Services Development (SSD) group writes and maintains large web applications and web APIs used by both staff and end-users of the National Center for Computational Sciences (NCCS) computational ecosystem. One of the largest applications the group develops and maintains is the NCCS customer relationship management tool. This tool provides a full-featured CRM solution for storing and organizing a broad set of relational data pertaining to the center’s users, projects, allocations, funding sources, file system directories, batch jobs, etc. In addition, it directly controls many of the day-to-day operational needs of the NCCS in real-time such as generating batch scheduler configurations, maintaining mailing lists, populating LDAP instances, and emailing end-users. It disseminates data through a RESTful API that staff use for operational automation and reporting.
Purpose:
We are seeking an individual that will provide leadership to the Software Services Development group. The technical focus of the group's work is on internal and externally-facing web applications and APIs that are critical to the day-to-day operations of the NCCS, and by extension, ORNL’s aspiration to be the world’s premier R&D institution.
Major Duties/Responsibilities:
In this role, you will lead and advocate for a diverse and talented group of software engineers, guide their technical work, and expand their ranks with new hires when needed. You will develop a vision and implement a cohesive group strategy to ensure the success of new and ongoing technical projects to position the group and the organization for future success.
You will have the opportunity to:
Cultivate an environment where team members are empowered and demonstrate a strong sense of ownership and belonging
Meet with team members on a regular basis to support day-to-day work
Coach your team by providing technical leadership and candid, ongoing feedback and mentoring
Lead successful technical projects, ensuring high-quality and timely delivery of features and fixes
Oversee the development and implementation of software features/controls to mitigate technical risks
Review code and ensure the team builds software that is architecturally consistent, of high quality, and follows operational best practices
Work with other teams across the division to meet the division's operational challenges
Help bring clarity to the team by fostering clear communication, understanding, and process improvements
Accountabilities:
To group staff, for the quality and safety of their work environment and opportunities for professional growth
To the Operations Section Head, for world-leading technical directions; for safe, effective, compliant operations; for ownership of assigned staff, facilities, and equipment; and for the quality of the group's products and services
To the Division's end-users, for the quality of the group's products and services offered to them
Authorities:
To develop a vision and implement a strategy to pursue world-leading technical/technology directions for the group
To hold staff accountable for performance
To act to ensure safe and effective operations
To hire staff
To certify the technical quality of the group’s products and services
RequirementsBasic Qualifications:
M.S. degree and 7+ years of relevant experience or B.S. degree and 8+ years of relevant experience
Demonstrated experience in leading, hiring, and building technical teams
A track record of working with web services at scale and/or distributed systems
Experience customizing team processes for maximizing employee productivity without burnout
Strong written and verbal communication skills
Preferred Qualifications:
Experience writing software applications in at least one of the following programming languages: Ruby, Python, Go, and/or JavaScript
Experience with web application development using one or more open-source frameworks (e.g. Rails, Vue.js, Django).
Experience using SQL database technologies (e.g. MySQL/MariaDB, PostgreSQL)
Experience with High Performance Computing (HPC) systems and/or support
Special Requirement:
This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.
***Visa sponsorship is not available with this position.
Company DescriptionAs the largest Department of Energy science and energy laboratory, ORNL engages in diverse research activities that support the department’s mission of ensuring America’s security and prosperity by addressing its energy, environmental and security challenges.
Leveraging the talents of its world-class researchers and exceptional support staff, Oak Ridge National Laboratory is helping solve critical scientific and technical challenges and, in so doing, creating economic opportunity for the nation. ORNL provides access to unique facilities, laboratories, and equipment, drawing thousands of visiting researchers each year. A vibrant and welcoming scientific community, ORNL embraces the pursuit of innovative ideas and invests in its people to ensure their success.
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
ML Engineering Intern
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KLA
·
Milpitas, California
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India.
The ML Solutions group for the FaST division at KLA is looking for an ML engineering intern to work in one or more of the following areas.
Research and develop cutting-edge ML solutions for KLA’s optical and x-ray metrology technologies
Productize ML pipelines to improve performance at KLA’s global customer base
Enhance KLA’s ML development environment
The ML Solutions group for the FaST division at KLA is looking for an ML engineering intern to work in one or more of the following areas.
Research and develop cutting-edge ML solutions for KLA’s optical and x-ray metrology technologies
Productize ML pipelines to improve performance at KLA’s global customer base
Enhance KLA’s ML development environment
RequirementsMinimum Qualifications
Some College or work experience of 0 years
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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·
2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Engineering Internship
·
KLA
·
Temecula
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India.
Responsibilities
Design and development of next generation Metrology Tools in FaST division.
Participate in the development of enhanced emulation of engineering tools to speed up development processes.
Creating and analyzing requirements, designing, implementing, testing and delivering software features.
Other responsibilities will include interfacing with multi-disciplinary teams in the U.S. and Overseas teams.
Responsibilities
Design and development of next generation Metrology Tools in FaST division.
Participate in the development of enhanced emulation of engineering tools to speed up development processes.
Creating and analyzing requirements, designing, implementing, testing and delivering software features.
Other responsibilities will include interfacing with multi-disciplinary teams in the U.S. and Overseas teams.
RequirementsQualifications
Knowledge of C#.
Good understanding of Objected-Oriented Design/Programming.
Familiar with Multithreading.
Experience in WPF GUI design.
Preferred Qualifications
Knowledge of C/C++ basics, Java, Python.
Experience with Robotics.
Knowledge of SQL or MongoDB is a plus.
Familiar with Image Processing is a plus.
Minimum Qualifications
Students working towards a Bachelor's Level Degree in Computer Science or Software Engineering
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Scientist, Quantum Information Sciences
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Purdue University
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Remote
Hide Details
SessionJob Postings
DescriptionWhat You'll Be Doing:
As the Research Scientist, Quantum Information Science (QIS), you will explore/research, recommend, obtain funding for, and execute cyberinfrastructure projects that leverage innovations in quantum computing, information sciences, and algorithms. You will establish a national reputation and leadership in Quantum Information Science applications. Develop and participate in writing research and funding proposals. In this position, you will provide leadership and technical project management for shared cyberinfrastructure initiatives. You will evaluate current and future trends in areas of cyberinfrastructure including: simulation, data analysis, algorithms, visualization, AI, and learning. Partner with Purdue faculty on applications of quantum information science. The Research Scientist, QI will publicize the results of cyberinfrastructure research initiatives through presentations and publications in professional journals and conference proceedings. You will establish national reputation and leadership in expertise areas.
This is a hybrid position where you will work a mix of on campus and remotely.
As the Research Scientist, Quantum Information Science (QIS), you will explore/research, recommend, obtain funding for, and execute cyberinfrastructure projects that leverage innovations in quantum computing, information sciences, and algorithms. You will establish a national reputation and leadership in Quantum Information Science applications. Develop and participate in writing research and funding proposals. In this position, you will provide leadership and technical project management for shared cyberinfrastructure initiatives. You will evaluate current and future trends in areas of cyberinfrastructure including: simulation, data analysis, algorithms, visualization, AI, and learning. Partner with Purdue faculty on applications of quantum information science. The Research Scientist, QI will publicize the results of cyberinfrastructure research initiatives through presentations and publications in professional journals and conference proceedings. You will establish national reputation and leadership in expertise areas.
This is a hybrid position where you will work a mix of on campus and remotely.
RequirementsWhat We're Looking For:
Education and Experience
Must have:
PhD in Physics, Electrical and Computer Engineering, Computer Science, or related disciplines
Four (4) years relevant hands-on experience in one, or a combination of the following (all of which may occur concurrently with graduate and/or doctoral studies):
experience with quantum computing and/or quantum information science
proven success in leading research/cyberinfrastructure proposals
participating in research endeavor(s) in either computational science or teaching and learning technologies, that are supported in part or wholly by external grants or other supported by external funding sources
developing software or leveraging cyberinfrastructure within a domain area
publication of scholarly papers and/or conference proceedings
teaching, instruction or mentoring of undergraduate or graduate students within an institution of higher education or a similar environment
Must have Skills:
Demonstrated knowledge of and skills in quantum information science methods and technologies
Ability to work as part of a high performing team in a collaborative environment
Ability to work positively in an inclusive and diverse environment
Demonstrated project management skills with the ability to plan, organize and prioritize tasks, and complete projects with minimal supervision
Demonstrated skills in self-motivation, analytical, and problem-solving skill
Ability to mentor other professionals
Preferred:
Demonstrated ability to effectively mentor staff and students
Good verbal and written English communication skills including the ability to consult with researchers
Ability to effectively make presentations and develop and present training material
Ability to develop documentation
Additional Information:
All new hires will be expected to follow Protect Purdue
Purdue University will not sponsor employment authorization for this position
A background check will be required for employment in this position
FLSA: Exempt (Not Eligible for Overtime)
Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply
Benefit Statement: Purdue University offers a substantial Benefit Package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days
Company DescriptionPurdue University’s Rosen Center for Advanced Computing provides access to leading
edge computational and data storage systems as well as expertise in a broad range of high
performance computing activities. To fulfill our mission, we:
provide advanced computational resources and services to support Purdue faculty and staff researchers
evaluate, deploy, and support hardware and software for large scale scientific computing
promote the effective use of our research computing systems and application software through training and education, consultation, and documentation
contribute to the discovery process through algorithm design and development of effective computing techniques
Purdue University’s Rosen Center for Advanced Computing is committed to promoting and advancing all forms of diversity, equity, inclusion and access (DEIA) to create an environment and culture where the uniqueness of individuals is celebrated and persons from all backgrounds can thrive.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Engineering Intern (SensArray)
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KLA
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Milpitas, California
Hide Details
SessionJob Postings
DescriptionThe SensArray division is the world leading provider of in situ processing measurement and control solutions for the semiconductor industry. The company provides measurement and control solutions to both semiconductor fabs and mask shops to ensure that yields are consistently high thus enabling cost-effective manufacturing SensArray business unit is dedicate to support customer R&D phase as well as HVM with in-situ thermal process control. SensArray business unit enable APC (Automated Process Control) to improve process optimization and yield improvement.
Responsibilities:
In this role, you will be a part of the Software Engineering team and will be responsible for software development and maintenance of SensArray Software products.
You will work with a cross-functional team to develop software for our industry leading in-situ monitoring of process tools’ environments.
Responsibilities:
In this role, you will be a part of the Software Engineering team and will be responsible for software development and maintenance of SensArray Software products.
You will work with a cross-functional team to develop software for our industry leading in-situ monitoring of process tools’ environments.
RequirementsEssential Skills:
Hands on academic/industrial exposure to programing in C#, Java, or C++
Good understanding of Object-Oriented Design, Data Structures and Algorithms
Good problem solving and communication skills
Ability and interest in learning new skills on the job
Preferred skills:
Hardware/Software Communication
Scripting languages like Python
Domain knowledge in one of the following areas: Image Processing, Image Computing, Machine Control, Robotics
Minimum Qualifications
Some College
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computer Vision/Machine Learning Intern
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KLA
·
Milpitas, California
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam’s mission encapsulates its role as the “eyes” of KLA’s product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.
Responsibilities
Develop cutting edge machine learning and computer vision algorithms in support of wafer inspection systems.
Responsibilities
Develop cutting edge machine learning and computer vision algorithms in support of wafer inspection systems.
RequirementsMinimum Qualifications
Students working towards a Master's OR PhD Level Degree in Software Engineering, Electrical Engineering or related field.
Working experience in one of the following fields: image processing, machine learning, computer vision, deep learning.
Working knowledge in one of one of the following ML development SW: Tensorflow, PyTorch, Caffe2.
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Algorithm Engineering Intern (FaST)
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KLA
·
Milpitas, California
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India.
Responsibilities
In this role, you will be a part of the SCD Algorithm group for the FaST division at KLA. We are looking for an algorithm engineering intern to work in one or more of the following areas:
Develop, implement, and improve electromagnetic algorithms
Research and develop physics-directed ML algorithms
Research and develop specialized optimization algorithms
Responsibilities
In this role, you will be a part of the SCD Algorithm group for the FaST division at KLA. We are looking for an algorithm engineering intern to work in one or more of the following areas:
Develop, implement, and improve electromagnetic algorithms
Research and develop physics-directed ML algorithms
Research and develop specialized optimization algorithms
RequirementsQualifications
Knowledge of C# or C++
Experience in the related fields of algorithmic development, computational physics, or machine learning
Background in one of the following areas: computational physics, applied mathematics, electrical engineering, or optical physics
Familiar with Maxwell equations or inverse problems is a plus
Minimum Qualifications
Students working towards a Master's or PhD (preferred) Level Degree
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Advanced Development Intern
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KLA
·
Milpitas, California
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Film and Scatterometry Technology (FaST) Division provides industry leading metrology solutions for worldwide semiconductor IC manufacturers. The FaST Division portfolio of metrology products includes hardware and software solutions for optical film thickness, optical critical dimension (CD), composition, and resistivity measurement systems. These products are essential for the IC manufacturers as they provide critical metrology capabilities for the development and implementation of their advanced IC processes. The FaST division is committed to support our customers to achieve performance entitlement of our solution and we effectively partner with our customers from their early research and development phase to the high volume in-line manufacturing implementation specific for their process needs. The division consists of a global team located in US, Israel, China, and India.
The major function of this role is to support investigations into novel metrology technologies. Advanced Development is responsible for both investigating and characterizing new technologies versus current best known methods. Major tasks include the collection of data using KLA tools and software packages, analysis and summary of results, automation of analysis routines.
Responsibilities
Perform guided analysis of KLA tools and software.
Generate reports on data analysis and findings.
Support data collection and analysis.
The major function of this role is to support investigations into novel metrology technologies. Advanced Development is responsible for both investigating and characterizing new technologies versus current best known methods. Major tasks include the collection of data using KLA tools and software packages, analysis and summary of results, automation of analysis routines.
Responsibilities
Perform guided analysis of KLA tools and software.
Generate reports on data analysis and findings.
Support data collection and analysis.
RequirementsMinimum Qualifications
Doctorate student or Master Level Degree student
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Electrical Design Engineer (Analog)
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KLA
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Milpitas, California
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA’s Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry’s most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.
Responsibilities for this exciting role will include:
- Selection and characterization of electronic components
- Participate in various electronics subsystem design activities, such as schematic capture, printed circuit board layout and board assembly proto-typing
- Participate in circuit debug and diagnostics
- Develop diagnostic scripts for PCB qualification testing
- Participate in system/subsystem Integration
- Conduct subsystem qualification testing for reliability
- Interact with manufacturing, service teams to support a smooth product transition into manufacturing
Responsibilities for this exciting role will include:
- Selection and characterization of electronic components
- Participate in various electronics subsystem design activities, such as schematic capture, printed circuit board layout and board assembly proto-typing
- Participate in circuit debug and diagnostics
- Develop diagnostic scripts for PCB qualification testing
- Participate in system/subsystem Integration
- Conduct subsystem qualification testing for reliability
- Interact with manufacturing, service teams to support a smooth product transition into manufacturing
RequirementsQualifications
- Master's Level Degree or 2+ years relevant industry experience designing board level circuits
- Understanding of functionality of electronic components and their parameters
- Use of schematic capture tools and spice (or other circuit simulation) tool
- Experience in using electronics laboratory equipment (oscilloscopes, spectrum analyzer...)
- Understanding of RF and analog circuit design
- Understanding of high-speed digital design
- Programming / Scripting Language Skills
- Must be self-driven solid team player and be able to work in a multi-discipline and multi-culture global organization
- Good verbal and written communication skills
Key attributes needed:
- Excellent oral and written communication skills.
- Proven analytical and organizational skills.
- Ability to work well with others.
- Ability to communicate clearly with multi-functional internal teams, division management, and external customers.
- Self-motivated, yet an active team member.
Minimum Qualifications
Master's Level Degree, or Bachelor's Level Degree with at least 2 years work experience
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Algorithm Engineering Intern
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KLA
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Ann Arbor, Michigan
Hide Details
SessionJob Postings
DescriptionResponsibilities:
An intern with the AI and Modeling Center of excellence will work in one or more of the following areas. Interns will be technically supported and mentored throughout their stay with KLA.
Work with traditional machine learning and deep learning techniques to meet and improve results on KLA products.
Experiment with new and novel techniques to improve results or reduce compute cost of various modeling techniques.
Build tools for more efficient experimentation.
Manage data used for training and experimentation of AI and physics modeling systems.
Image processing.
Speeding up physics models.
Developing software tools and solutions for KLA products.
An intern with the AI and Modeling Center of excellence will work in one or more of the following areas. Interns will be technically supported and mentored throughout their stay with KLA.
Work with traditional machine learning and deep learning techniques to meet and improve results on KLA products.
Experiment with new and novel techniques to improve results or reduce compute cost of various modeling techniques.
Build tools for more efficient experimentation.
Manage data used for training and experimentation of AI and physics modeling systems.
Image processing.
Speeding up physics models.
Developing software tools and solutions for KLA products.
RequirementsMinimum Qualifications
Some College or work experience of 0 years
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
System Software Intern
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KLA
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Milpitas, California
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Broadband Plasma Division (BBP) provides market-leading patterned wafer optical inspection systems for leading-edge IC manufacturing. Logic, foundry, and memory customers depend on BBP products to detect yield-critical defects for process debug and excursion monitoring at advanced process nodes. BBP flagship products include the 29xx and 39xx series which leverage Broadband Plasma technology to capture a wide range of defects with ultimate sensitivity at the optical inspection speeds needed for inline defect monitoring.
Job Responsibilities:
Identify bottlenecks and drive efficiency improvement for Operations team.
Develop scripts to analyze logs, thread-dumps, and other diagnostics data to generate actionable insights.
Prototype concepts and follow software lifecycle development practices to build maintainable and extensible solutions.
Build infrastructure and developer tools to localize problems and debug distributed systems and data pipelines.
Job Responsibilities:
Identify bottlenecks and drive efficiency improvement for Operations team.
Develop scripts to analyze logs, thread-dumps, and other diagnostics data to generate actionable insights.
Prototype concepts and follow software lifecycle development practices to build maintainable and extensible solutions.
Build infrastructure and developer tools to localize problems and debug distributed systems and data pipelines.
RequirementsQualifications:
Working knowledge of object-oriented programming in one or more of Java, C/C++, Python.
Experience with data structures and algorithms (completing relevant course work, course projects, or internships).
Experience with systematic problem-solving skills.
Familiarity with cloud computing concepts and distributed systems.
Minimum Qualifications
Students pursuing the following degrees:
Bachelor's Level Degree in Computer Science or related field with previous internship experience OR
Master's Level Degree in Computer Science or related field
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software and Algorithms Intern
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KLA
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Milpitas, California
Hide Details
SessionJob Postings
DescriptionThe SensArray division is the world leading provider of in situ processing measurement and control solutions for the semiconductor industry. The company provides measurement and control solutions to both semiconductor fabs and mask shops to ensure that yields are consistently high thus enabling cost-effective manufacturing SensArray business unit is dedicate to support customer R&D phase as well as HVM with in-situ thermal process control. SensArray business unit enable APC (Automated Process Control) to improve process optimization and yield improvement.
Responsibilities
Algorithm development for image distortion, correction, and calibration
Develop algorithms for contour detection
Image processing and offset calculation
Teaching image with machine learning
Responsibilities
Algorithm development for image distortion, correction, and calibration
Develop algorithms for contour detection
Image processing and offset calculation
Teaching image with machine learning
RequirementsQualifications
Candidates pursuing a PhD or Master's Level Degree in Computer Science, Computer Engineering, or Electrical Engineering
Candidate must possess SW/Algo skills on digital image processing, image distortion correction, pattern recognition, edge detection, or machine learning
Experience in basic electronic components like ADC, MUX, de-serializer, CPU, MCU/MPU, memory, LED, or battery for image sensors is a plus
Strong analytical capabilities
Strong written and verbal communication skills
Must demonstrate perseverance and ability to work collaboratively within a team setting with individuals across different geographies, as needed
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Postdoctoral Research Associate Machine Learning
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Brookhaven National Laboratory
·
Upton, NY
Hide Details
SessionJob Postings
DescriptionNational Synchrotron Light Source II (NSLS-II)’s Photon Science Division aims to enable world-class research by delivering exceptional scientific tools to a broad user community that requires large-scale facilities. Enhanced data analysis for x-ray scattering data, independent of the scientific sample, is essential to this mission. The Coherent Soft X-ray (CSX) and Coherent Hard X-ray (CHX) beamlines at NSLS-II are partnering with Brookhaven National Laboratory’s Computer Science Initiative (CSI) to test existing or develop new machine learning algorithms to that reduce the required expertise in data reduction and analysis. X-ray Photon Correlation Spectroscopy (XPCS), which uses a time series of x-ray scattering patterns from a given sample, will be the focus of this effort.
The chosen candidate will work closely with CSI and NSLS-II scientists to develop machine learning algorithms that can distinguish between "good" time series data sets and those containing systematic error, quantify systematic error effects to salvage data, and use machine learning to extract physically meaningful quantities from large data sets. These capabilities will be applicable to equilibrium and non-equilibrium scientific samples probed by x-rays, allow external researchers to spend more time understanding results and planning experiments, and reduce the required expertise and knowledge to perform these experiments. For reference, refer to publicly available work: Scientific Reports 11, 14756 (2021) and arXiv preprint arXiv:2201.07889 (2022).
The chosen candidate will work closely with CSI and NSLS-II scientists to develop machine learning algorithms that can distinguish between "good" time series data sets and those containing systematic error, quantify systematic error effects to salvage data, and use machine learning to extract physically meaningful quantities from large data sets. These capabilities will be applicable to equilibrium and non-equilibrium scientific samples probed by x-rays, allow external researchers to spend more time understanding results and planning experiments, and reduce the required expertise and knowledge to perform these experiments. For reference, refer to publicly available work: Scientific Reports 11, 14756 (2021) and arXiv preprint arXiv:2201.07889 (2022).
RequirementsEssential Duties and Responsibilities:
• Develop machine learning and artificial Intelligence (AI) methods for coherent scattering time series data sets (e.g., XPCS) with the end goal of reliably and accurately quantifying observed timescales of sample dynamics regardless of the data quality
• Develop machine learning and AI methods that can integrate with NSLS-II’s data pipeline (beamline servers and dedicated HPC-like resources)
• Collaborate with a variety of researchers, e.g., experimental scientists, mathematicians and theorists, data scientists and engineers, and computational scientists, to complete project deliverables
• Present and publish results.
Required Knowledge, Skills, and Abilities:
• Doctorate (Ph.D.) in computational science, applied mathematics, physical science, or related field
• Demonstrated record of scientific excellence (course work, publications, talks, or documented software projects) relevant to duties and responsibilities
• Ability to work collaboratively with individuals from diverse scientific fields
• Experience writing scientific data analysis software in Python.
Preferred Knowledge, Skills, and Abilities:
• Experience with object-oriented software development in C++
• Experience with common machine learning methods (e.g., convolutional neural networks)
• Experience with common machine learning software libraries (e.g., PyTorch)
• Experience in post-processing, model development, and analysis of large data sets
• Ability to understand data from a physically meaningful point of view
• Demonstrated software development, preferably in a collaborative and distributed manner.
Company DescriptionBrookhaven National Laboratory (www.bnl.gov) is a multidisciplinary laboratory that delivers discovery science and transformative technology to power and secure the nation’s future. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates, a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University, operates and manages the Laboratory for DOE. Brookhaven Lab's Computational Science Initiative (www.bnl.gov/compsci/) excels at integrating computer science, applied mathematics, data science, quantum and computational science with broad domain expertise. These diverse efforts now support CSI's stewardship of the Lab-wide Human-AI-Facility Integration (HAI-FI) Initiative, connecting humans and machines via artificial intelligence to enable hypothesis-guided autonomous research. HAI-FI engages all aspects of computing, affording real-time human–machine collaborations that work together to achieve the best path toward advanced knowledge and impactful scientific discovery.
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2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Scientist
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SLAC National Accelerator Laboratory
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Menlo Park, CA
Hide Details
SessionJob Postings
DescriptionWe're a research group within SLAC, headed by Alex Aiken (https://theory.stanford.edu/~aiken/). We focus on fundamental CS research that has the potential to impact science, mainly in the areas of high-performance and distributed computing, programming languages, compilers, networks, operating systems, etc. One of our major projects is Legion, a forward-looking programming system for distributed computing (https://legion.stanford.edu/). Legion has been used to create new programming languages (https://regent-lang.org/), seamless distributed NumPy (https://developer.nvidia.com/cunumeric), and a drop-in replacement for Keras and PyTorch (https://flexflow.ai/), among many other things.
We are looking for strong scientists and engineers to join our group. For clarity (because these terms vary by industry/company), scientists mainly focus on producing research results (e.g., papers and research software) while engineers mainly focus on software development and deliverables (e.g., system or application implementation). For scientist positions please expect to provide a CV with relevant publications.
(Note there are two versions of this posting, one for scientist and one for engineer.)
We are looking for strong scientists and engineers to join our group. For clarity (because these terms vary by industry/company), scientists mainly focus on producing research results (e.g., papers and research software) while engineers mainly focus on software development and deliverables (e.g., system or application implementation). For scientist positions please expect to provide a CV with relevant publications.
(Note there are two versions of this posting, one for scientist and one for engineer.)
RequirementsPh.D. in Computer Science or a closely related discipline.
Demonstrated ability to carry out independent research, collaborate closely with colleagues conducting research, and participate in the writing of scientific proposals to fund research.
Demonstrated effective written and verbal communication skills.
Demonstrated ability to work and communicate effectively with a diverse population.
Demonstrated ability to work independently and in a team environment.
Company DescriptionSLAC is operated by Stanford University on behalf of the U.S. Department of Energy.
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2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Electrical Engineering Manager
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KLA
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Milpitas, California
Hide Details
SessionJob Postings
DescriptionThe Global Service Support Organization (GSS) team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The GSS organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts.
Responsibilities
- Manage a group of highly skilled and multi-disciplinary electrical engineers with domain knowledges of mixed signal circuits, FPGA, cameras, imaging acquisitions, motion controls, power supplies, sub-systems, etc..
- Project, resource, priority and escalation management
- Drive executions of development roadmap
- Work collaboratively with peers and other cross-functional team members including define sub-system design requirement specifications and design architectures
- Manage multi-disciplinary electrical design projects with hands-on contributions from scoping, requirements, budget/resource planning, gap analysis, risk management, design implementation, validation and release through engineering product design life cycles
- Manage design reviews and phase exits
- Manage value-added third party vendors, services and contractors/consultants to deliver turn-key design solutions
- Provide project status updates to upper management and stakeholder committees
- Conduct training, coaching and development plans for direct reports
- Communicate and work effectively with a global engineering team
Responsibilities
- Manage a group of highly skilled and multi-disciplinary electrical engineers with domain knowledges of mixed signal circuits, FPGA, cameras, imaging acquisitions, motion controls, power supplies, sub-systems, etc..
- Project, resource, priority and escalation management
- Drive executions of development roadmap
- Work collaboratively with peers and other cross-functional team members including define sub-system design requirement specifications and design architectures
- Manage multi-disciplinary electrical design projects with hands-on contributions from scoping, requirements, budget/resource planning, gap analysis, risk management, design implementation, validation and release through engineering product design life cycles
- Manage design reviews and phase exits
- Manage value-added third party vendors, services and contractors/consultants to deliver turn-key design solutions
- Provide project status updates to upper management and stakeholder committees
- Conduct training, coaching and development plans for direct reports
- Communicate and work effectively with a global engineering team
Requirements- Minimum 5 years of experience in electrical design and systems engineering for development, sustaining and continuous improvement
- In-depth knowledge and hands-on experience of complexed electrical, electronics, board level and sub-system design principles with proven good track record
- Desired experience in any of following area - mixed signal board level design, FPGA/CPLD, image acquisitions, camera systems, motion controls, etc.
- Must be a team player and have strong leadership, critical thinking, drive to executions, effective communications and problem-solving skills including good presentation skills
- Experience as hardware or software development team leader is a plus
- Experience in semi-conductor capital equipment development is a plus
- Previous engineering functional and people management role (hardware or software) is a plus
- Doctorate (Academic) or work experience of 3 years, Master's Level Degree or work experience of 4 years, Bachelor's Level Degree or work experience of 5 years
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Engineer, User Assistance (Early Career)
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Oak Ridge National Laboratory
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Oak Ridge, TN
Hide Details
SessionJob Postings
DescriptionThe Organization:
The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is responsible for providing computational resources at extreme scales for science. NCCS is home to some of the fastest supercomputers and storage systems in the world, e.g., the 27 petaflops Titan system, the 200 petaflops Summit system, the 250 petabytes GPFS-based Alpine parallel file system, and the disk/tape HPSS archival storage system. NCCS serves multiple agencies including DOE, NOAA, and the Air Force. The NCCS also supports the center’s Quantum Computing User Program (QCUP) which provides access to state-of-the-art quantum computing resources.
The Team:
The NCCS User Assistance (UA) Group provides technical support to the center’s advanced computing resources including high-performance computing (HPC) and Quantum, generates documentation about NCCS systems, and develops and delivers training to users of the center’s resources. NCCS staff members are also responsible for developing tools and technical solutions for users of these resources. NCCS User Assistant specialists also serve as ambassadors for users of these resources and the rest of the organization.
Major Duties and Responsibilities:
The role comprises the following primary functions:
Take technical ownership of user reported problems and provide hands-on support for scientific applications and libraries and users of high-performance computing, clusters, quantum, and other advanced computing resources.
Compile and debug large science and engineering applications.
Identify and resolve system-level bugs in conjunction with other technical staff.
Work with vendors to resolve issues and implement changes as necessary.
Install third-party software applications and tools and provide documentation for usage.
Develop and execute system tests to ensure newly deployed systems can support user workloads.
Proactively ensure that users have up-to-date information about the system, including any changes and their impact on the users. User Support staff are very involved in researching and developing documentation and reference material during system early-use and upgrade phases, as well as maintaining them throughout system operation.
Participate in the development, maintenance, and delivery of training and outreach materials to users.
Respond to general administrative questions (e.g., system status, requests for accessor special accommodation, etc)
Implement special projects as requested (e.g., metrics, cyber security, policy discussions).
Actively participate and advocate for users during planning of system configuration, policy creation, outages, and other user impacting events.
ORNL Benefits:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is responsible for providing computational resources at extreme scales for science. NCCS is home to some of the fastest supercomputers and storage systems in the world, e.g., the 27 petaflops Titan system, the 200 petaflops Summit system, the 250 petabytes GPFS-based Alpine parallel file system, and the disk/tape HPSS archival storage system. NCCS serves multiple agencies including DOE, NOAA, and the Air Force. The NCCS also supports the center’s Quantum Computing User Program (QCUP) which provides access to state-of-the-art quantum computing resources.
The Team:
The NCCS User Assistance (UA) Group provides technical support to the center’s advanced computing resources including high-performance computing (HPC) and Quantum, generates documentation about NCCS systems, and develops and delivers training to users of the center’s resources. NCCS staff members are also responsible for developing tools and technical solutions for users of these resources. NCCS User Assistant specialists also serve as ambassadors for users of these resources and the rest of the organization.
Major Duties and Responsibilities:
The role comprises the following primary functions:
Take technical ownership of user reported problems and provide hands-on support for scientific applications and libraries and users of high-performance computing, clusters, quantum, and other advanced computing resources.
Compile and debug large science and engineering applications.
Identify and resolve system-level bugs in conjunction with other technical staff.
Work with vendors to resolve issues and implement changes as necessary.
Install third-party software applications and tools and provide documentation for usage.
Develop and execute system tests to ensure newly deployed systems can support user workloads.
Proactively ensure that users have up-to-date information about the system, including any changes and their impact on the users. User Support staff are very involved in researching and developing documentation and reference material during system early-use and upgrade phases, as well as maintaining them throughout system operation.
Participate in the development, maintenance, and delivery of training and outreach materials to users.
Respond to general administrative questions (e.g., system status, requests for accessor special accommodation, etc)
Implement special projects as requested (e.g., metrics, cyber security, policy discussions).
Actively participate and advocate for users during planning of system configuration, policy creation, outages, and other user impacting events.
ORNL Benefits:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
RequirementsBasic Qualifications:
A Bachelor’s degree in computer science or related field or equivalent experience
Requires practical experience with multiple programming languages and technologies including several of the following:
Fortran
C
C++
Perl
Python
Shell scripting (e.g., bash, ksh, etc.) in a Linux or Unix environment
Preferred Qualifications:
BS and 2+ years of relevant experience or MS and 1+ year of relevant experience
Prior experience providing user support
Experience building and installing scientific software and other 3rd party software applications on HPC systems
Experience with HPC schedulers and resource managers
Experience executing scientific software on HPC systems
Experience writing user documentation
Experience developing and delivering training for users
Strong technical and analytical skills
Strong verbal and written communication skills
Maintains the highest level of professionalism at all times when interacting with internal and external customers
Demonstrates a high-energy, positive attitude and commitment to quality customer service
Contributes to a positive team environment within the center by demonstrating a strong work ethic, effectively communicating with others, and proactively anticipating center and user needs
Experience coordinating and running support teams
Understanding of the requirements of a DOE, DoD, and/or NSF HPC center
Company Descriptions the largest Department of Energy science and energy laboratory, ORNL engages in diverse research activities that support the department’s mission of ensuring America’s security and prosperity by addressing its energy, environmental and security challenges.
Leveraging the talents of its world-class researchers and exceptional support staff, Oak Ridge National Laboratory is helping solve critical scientific and technical challenges and, in so doing, creating economic opportunity for the nation. ORNL provides access to unique facilities, laboratories, and equipment, drawing thousands of visiting researchers each year. A vibrant and welcoming scientific community, ORNL embraces the pursuit of innovative ideas and invests in its people to ensure their success.
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Machine Learning Engineer
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Brookhaven National Laboratory
·
Upton, NY
Hide Details
SessionJob Postings
DescriptionThe Computational Science Initiative (CSI) at Brookhaven National Laboratory invites exceptional candidates to apply for a research engineer position in emerging technology and scientific computing. This position offers a unique opportunity to develop scientific software for emerging technology and high-performance computing with applications in diverse scientific domains of interest to Brookhaven and the U.S. Department of Energy (DOE). Topics of specific interest include: developing novel distributed/federated machine learning algorithms; secure computing, including blockchain; improving communication framework (i.e., edge or HPC); and implementing analytical algorithms to improve DOE applications on edge, HPC, or quantum computers. The position includes access to world-class HPC and quantum computer resources, such as the Brookhaven Institutional Cluster, IBM Q, and DOE Leadership Computing Facilities. These platforms allow for computing at scale and will ensure the successful candidate will have the necessary resources to solve challenging DOE problems of interest.
RequirementsEssential Duties and Responsibilities:
Develop scientific software for emerging technology and HPC
Implement machine learning algorithms for scientific applications
Work in interdisciplinary collaborations with applied domain scientists on various aspects of scientific data generation, processing, and analysis
Moderate domestic and foreign travel may be required.
Required Knowledge, Skills, and Abilities:
Bachelor's or higher level degree in computer science, electrical engineering, or a related field and 3+ years relevant experience
Software development skills
Experience in implementing machine learning algorithms on machine learning platforms (PyTorch, TensorFlow, JAX, DeepSpeed, etc.).
Preferred Knowledge, Skills, and Abilities:
Blockchain
Edge computing
Quantum computing in both hardware and simulation (PennyLane, cuQuantum, Cirq, Qiskit, TensorFlow Quantum, etc.)
Experience with developing quantum machine learning algorithms
Experience in parallel and distributed computing/training
Message-oriented middleware.
Company DescriptionBrookhaven National Laboratory (www.bnl.gov) is a multidisciplinary laboratory that delivers discovery science and transformative technology to power and secure the nation’s future. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates, a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University, operates and manages the Laboratory for DOE. Brookhaven Lab's Computational Science Initiative (www.bnl.gov/compsci/) excels at integrating computer science, applied mathematics, data science, quantum and computational science with broad domain expertise. These diverse efforts now support the Lab-wide Human-AI-Facility Integration (HAI-FI) Initiative, connecting humans and machines via artificial intelligence to enable hypothesis-guided autonomous research. HAI-FI engages all aspects of computing, affording real-time human–machine collaborations that work together to achieve the best path toward advanced knowledge and impactful scientific discovery.
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·
2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Group Leader, Data Intensive Computing Engineer
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Purdue University
·
Remote
Hide Details
SessionJob Postings
DescriptionAs the Group Leader, Data Intensive Computing Engineer, you will be an integral part of our systems engineering team. You will be a subject matter expert in this field. You will be responsible for leading major projects with limited supervision, mentoring team members, and the administration and deployment of our massive parallel distributed filesystems, along with the accompanying storage subsystems to enable data-intensive science.
You will act as a subject matter expert in specific technologies such as GPFS, ZFS, Lustre and HPSS and provide specialized services in this area to develop solutions for optimizing research. You will be responsible for conducting detailed analysis, designing, prototyping, and implementing solutions. This position will provide mentoring for more junior level professionals.
You will act as a subject matter expert in specific technologies such as GPFS, ZFS, Lustre and HPSS and provide specialized services in this area to develop solutions for optimizing research. You will be responsible for conducting detailed analysis, designing, prototyping, and implementing solutions. This position will provide mentoring for more junior level professionals.
RequirementsWhat We're Looking for is someone who:
Knows the:
Application of systems analysis techniques and procedures, including consulting with users/customers, to determine hardware, software or system functional specifications
Design, development, documentation, analysis, creation, testing, optimization, or modification of computer systems or programs, including prototypes, based on and related to user or system design specifications
Design, documentation, testing, automation, creation, or modification of computer programs or complex tasks related to machine operations
Work with the team to define and implement best practices and standards within the organization
Diagnose system operational problems quickly and effectively
Participate in an on-call rotation providing 24-hour, 7-day support and off-hours maintenance windows
Coordinate with vendors to resolve hardware and software problems
Ability to lead storage-related projects with internal and external representatives
Act as subject matter expert for storage resources for various projects
Lead system design, facility integration, deployment, upgrades, issues resolution, and decommissioning
Education and Experience
Must have:
Bachelor’s degree in a STEM field preferred
A minimum of six (6) years of experience in:
Managing Linux/Unix operating systems in a heterogeneous environment
Working with researches to integrate computer techniques into research activities
An equivalent combination of education and experience will be accepted
Preferred:
Master’s degree in a STEM field
Skills:
Excellent interpersonal/communication skills, and the ability to work as part of a team
Working knowledge of Linux system fundamentals and common network protocols and technologies like TCP/IP, InfinBand, and Fibre-channel
Experience with supporting the use of high-performance computing resources.
Experience with the use of high-performance computing resource solutions like Lustre, GPFS, etc.
Understanding of networked computing environment concepts
Ability to:
develop and maintain programs and scripts that aid in the operation and automation of administrative tasks using various shell and scripting languages.
identify requirements and to define, plan, and implement requisite solutions
plan, organize, prioritize tasks, and complete assigned projects with minimal supervision
provide dedicated mentorship on diverse, complex, and abstract concepts
Experience participating in an open-source community with patches accepted upstream.
Experience deploying and maintaining automated configuration management software such as Puppet, or Ansible.
Experience in storage benchmarking fundamentals and associated tools.
Additional Information:
All new hires will be expected to follow Protect Purdue
Purdue University will not sponsor employment authorization for this position
A background check will be required for employment in this position
FLSA: Exempt (Not Eligible for Overtime)
Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply
Benefit Statement: Purdue University offers a substantial Benefit Package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days
Paid Parental Leave
Tuition remission for you and your nuclear family
Company DescriptionPurdue University’s Rosen Center for Advanced Computing provides access to leading
edge computational and data storage systems as well as expertise in a broad range of high
performance computing activities. To fulfill our mission, we:
provide advanced computational resources and services to support Purdue faculty and staff researchers
evaluate, deploy, and support hardware and software for large scale scientific computing
promote the effective use of our research computing systems and application software through training and education, consultation, and documentation
contribute to the discovery process through algorithm design and development of effective computing techniques
Purdue University’s Rosen Center for Advanced Computing is committed to promoting and advancing all forms of diversity, equity, inclusion and access (DEIA) to create an environment and culture where the uniqueness of individuals is celebrated and persons from all backgrounds can thrive.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Intern (EBeam)
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KLA
·
Milpitas, California
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. First to deliver the best imaging and classification data for every defect or point on any layer at any time. EBeam’s mission encapsulates its role as the “eyes” of KLA’s product line, providing timely information on defects and critical locations on the wafer at the highest spatial resolution possible. Customers use EBeam products alongside KLA patterned and bare wafer inspectors to quickly understand the nature of defects and other imperfections on product wafers and take action to correct the manufacturing process.
Responsibilities
In this role, you will be working for a Software team of highly motivated Engineers who create Semiconductor Inspection/Review tools by solving high end Physics problems with their mastery of Software. If you come join our team, you will be enabling the Human Race to innovate the next generation of CPUs, GPUs and DL engines like Bionic Chips.
If you believe a code is not done when it works, it is done only when it is elegant, clean and has automated Tests to cover it, you are the Candidate we are looking for. Even though we prefer C#, being Polyglot helps.
Responsibilities
In this role, you will be working for a Software team of highly motivated Engineers who create Semiconductor Inspection/Review tools by solving high end Physics problems with their mastery of Software. If you come join our team, you will be enabling the Human Race to innovate the next generation of CPUs, GPUs and DL engines like Bionic Chips.
If you believe a code is not done when it works, it is done only when it is elegant, clean and has automated Tests to cover it, you are the Candidate we are looking for. Even though we prefer C#, being Polyglot helps.
RequirementsQualifications
If you are strong in Object Oriented Concepts, Data Structures and Algorithms with good understanding of using any modern Object Oriented Language and an eye for clean, readable and maintainable code you would fit right in our team. Having a passion to learn new technologies and the perseverance to take on challenging problems.
The following skills are completely optional and would help you in the job if you have them. Have the interest not the opportunity, come learn from us:
Data analytics and data science
Machine Learning
Passion for Physics
Programming Web based solution
Minimum Qualifications
Some College
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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·
2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Scientist Intern
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KLA
·
Milpitas, California
Hide Details
SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The RAPID division is the world leading provider of reticle inspection solutions for the semiconductor industry. The company provides inspection solutions to both the mask shops and the semiconductor fabs to ensure that lithography yields are consistently high thus enabling cost-effective manufacturing.
Responsibilities:
We are looking for a summer intern to assist the team in one or multiple of the following tasks, predominantly in a laboratory or clean room environment:
Assembly, alignment and performance testing of a high precision optical beam delivery system, consisting of motion stages, electronic control equipment, fiber optics, precision optics, alignment tooling and precision mechanics.
Commissioning and fine alignment of an advanced optical test bench consisting of a vacuum chamber, vacuum control equipment, PLC (programmable logic control), laser beam delivery system, nano-motion stage, CCD based optical detection system and LabView control
Development of work instructions and procedures to systematically generate product qualification data from the above measurement test bench.
Responsibilities:
We are looking for a summer intern to assist the team in one or multiple of the following tasks, predominantly in a laboratory or clean room environment:
Assembly, alignment and performance testing of a high precision optical beam delivery system, consisting of motion stages, electronic control equipment, fiber optics, precision optics, alignment tooling and precision mechanics.
Commissioning and fine alignment of an advanced optical test bench consisting of a vacuum chamber, vacuum control equipment, PLC (programmable logic control), laser beam delivery system, nano-motion stage, CCD based optical detection system and LabView control
Development of work instructions and procedures to systematically generate product qualification data from the above measurement test bench.
RequirementsPreferred Qualifications:
Students working towards a Bachelor's or Master's Level Degree in Optical Sciences, Engineering or related field.
Minimum Qualifications
Some college
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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·
2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Technical Support Engineer - Level 1
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DataDirect Networks
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Remote
Hide Details
SessionJob Postings
DescriptionWe are currently seeking a Technical Support Engineer - Level 1. The Technical Support Engineer - Level 1 (TSE) will primarily be responsible for Supporting DDN Systems / Solutions World-Wide. This position can be either remote, office-based, or hyrbid. The TSE will need to have a good knowledge of IT (Information Technology) to be able to partner strongly with Customers to help resolve technical problems. Strong communication skills (both written and verbal) and customer focus are required.
Responsibilities for this role include but are not limited to:
First level of support for customers to solve technical issues on storage hardware and software products
Manage all open tickets and ensure customers get regular updates regarding case status
Support work is done via e-mail, remote access, phone
Ability to multi-task and manage competing priorities, ensuring all objectives are accomplished
Write, proofread, and submit knowledgebase articles
Eager to learn / improve technical skills to solve customer problems faster
Responsibilities for this role include but are not limited to:
RequirementsQualifications for this role are:
Preferred 1-3 years' experience providing technical support to end user customers for storage and/or enterprise level infrastructure products
Strong focus on customer service
The L1 Support Engineer will work with enterprise storage products supporting InfiniBand and ethernet network topologies along with servers running Linux OS and parallel filesystems Any relevant experience in one of these fields is beneficial
Self-Starter, pro-actively identifies and delivers value to customers
Troubleshooting skills
Company DescriptionDataDirect Networks (DDN.com) is a world leader in massively scalable storage. We are the leading provider of data storage and processing solutions and professional services that enable content-rich and high-growth IT environments to achieve the highest levels of systems scalability, efficiency and simplicity. DDN enables enterprises to extract value and deliver results from their information. Our customers include the world's leading online content and social networking providers, high performance cloud and grid computing, life sciences, media production organizations and security & intelligence organizations.
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2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Electronic and Algorithm Researcher (FPGA Firmware)
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KLA
·
Ann Arbor, Michigan
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SessionJob Postings
DescriptionThe Office of the Chief Technology Officer (CTO) plays a critical role in developing advanced long-range technology in collaboration with product divisions and strategic marketing, working on future technology like light sources, lasers, and sensors. We are engaged in the research and development process, and once the technology is mature, we partner with product engineering groups who then build products based on the technology we’ve developed. The Office of the CTO also provides technical input into KLA’s strategic planning process, program reviews and Product Life Cycle (PLC) phases. We provide our broad technology expertise and cross-division experience to ensure we leverage the collective knowledge within our company.
Responsibilities:
• Work with hardware and software teams to develop high-performance image acquisition systems.
• Evaluate and implement image processing and machine learning algorithms for FPGA firmware.
• Define FPGA requirements and develop design from concept to production release.
• Responsible for verification bench, functional debug, timing analysis/closure, and subsystem validation bring-up.
Responsibilities:
• Work with hardware and software teams to develop high-performance image acquisition systems.
• Evaluate and implement image processing and machine learning algorithms for FPGA firmware.
• Define FPGA requirements and develop design from concept to production release.
• Responsible for verification bench, functional debug, timing analysis/closure, and subsystem validation bring-up.
Requirements• Minimum 3 years hands-on experience with complex FPGA firmware designs
• Experience with designing and evaluating image processing algorithms.
• Experience with designing and evaluating machine learning neural networks for hardware implementation.
• Proficiency with hardware description language such as System Verilog; high-level synthesis using C a plus.
• Proficiency with FPGA design tools such as Vivado/Vitis and simulators such as VCS or Questa.
• Understand timing analysis and be enable to solve timing related issues.
• Hands on experience with lab equipment like logic analyzer, oscilloscope etc.
• Team player with excellent written and verbal communications skills.
Minimum Qualifications:
Doctorate (Academic) with work experience of 0 years , Master's Level Degree with work experience of 3 years
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computer Scientist
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Brookhaven National Laboratory
·
Upton, NY
Hide Details
SessionJob Postings
DescriptionAs part of Brookhaven National Laboratory’s Computational Science Initiative (CSI), Computation and Data-Driven Discovery (C3D) group is the gateway for expertise in high-performance workflows, distributed computing technologies, and FAIR (Findability, Accessibility, Interoperability, and Reusability) data. C3D integrates high-performance computing, machine learning, and streaming analytics and translates them into reproducible science and scientific discovery. C3D conducts research, develops solutions, and provides expertise in workflows, scalable software, and analytics to address the challenges and requirements of science and engineering applications that demand large-scale, innovative solutions. C3D specializes in distributed computing research, software systems that support streaming and real-time analytics, and reproducibility. The team’s work includes performing advanced research into extreme-scale and extensible workflow systems, transparent and reproducible artificial intelligence systems in science, and real-time data analytics with a focus on explainability.
This position provides an opportunity to contribute to the several impactful projects and software systems, including the CANDLE, ExaWorks, and ExaLearn projects under the Exascale Computing Project, a collaborative effort of the U.S. Department of Energy Office of Science and National Nuclear Security Administration, as well as the chance to research and develop the next generation of middleware systems to advance scientific discovery on the largest computing platforms. This position is in the laboratory of Shantenu Jha, a member of the multidisciplinary team awarded the first-ever Gordon Bell COVID-19 Special Prize at SC20.
This position provides an opportunity to contribute to the several impactful projects and software systems, including the CANDLE, ExaWorks, and ExaLearn projects under the Exascale Computing Project, a collaborative effort of the U.S. Department of Energy Office of Science and National Nuclear Security Administration, as well as the chance to research and develop the next generation of middleware systems to advance scientific discovery on the largest computing platforms. This position is in the laboratory of Shantenu Jha, a member of the multidisciplinary team awarded the first-ever Gordon Bell COVID-19 Special Prize at SC20.
RequirementsEssential Duties and Responsibilities:
• Help develop application and HPC middleware software frameworks
• Contribute to interdisciplinary and community software development team
• Promote the research results through scholarly publications and presentations at leading conferences
• Lead or participate in the development of related research proposals
• Promote collaborative research with interdisciplinary research team
• Develop frameworks and libraries for HPC and machine learning applications
• Integrate frameworks and libraries with scientific applications on DOE Leadership Computing Facilities
• Moderate domestic and foreign travel may be required.
Required Knowledge, Skills, and Abilities:
• Bachelor's (+5 years), Master's (+3 years), or Doctorate (Ph.D.) in computer science/engineering, statistics, applied math, physics, or related discipline
• Experience in successful and modern software design and development and lifestyle methods
• Python and C programming experience
• Experience with HPC principles, practice, programming, and performance analysis
• Robust software engineering skills
• Experience with Scientific Workflows and Resource Management
• Experience working in multidisciplinary scientific collaboration
• Track record of producing high-quality software on schedule.
Preferred Knowledge, Skills, and Abilities:
• Doctorate (+2 years post-Ph.D.)
• Appreciation for a range of scientific domains, such as high energy physics, bimolecular, climate sciences, etc.
• Experience working in interdisciplinary teams
• A degree in CS/CE in HPC
• Experience in system software design and implementation of scalable systems.
Company DescriptionBrookhaven National Laboratory (www.bnl.gov) is a multidisciplinary laboratory that delivers discovery science and transformative technology to power and secure the nation’s future. The Lab is primarily supported by the U.S. Department of Energy’s (DOE) Office of Science. Brookhaven Science Associates, a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University, operates and manages the Laboratory for DOE. Brookhaven Lab's Computational Science Initiative (www.bnl.gov/compsci/) excels at integrating computer science, applied mathematics, data science, quantum and computational science with broad domain expertise. These diverse efforts now support CSI's stewardship of the Lab-wide Human-AI-Facility Integration (HAI-FI) Initiative, connecting humans and machines via artificial intelligence to enable hypothesis-guided autonomous research. HAI-FI engages all aspects of computing, affording real-time human–machine collaborations that work together to achieve the best path toward advanced knowledge and impactful scientific discovery.
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·
2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Technical Support Engineer - Level 2
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DataDirect Networks
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Remote
Hide Details
SessionJob Postings
DescriptionThe Advanced Support Team (AST)/Level 2 Filesystem Support is part of DDNs support organization. The primary focus of the AST is to support DDNs customers with troubleshooting and repair during the lifetime of their DDN storage solutions. Also, escalations to the DDN engineering/development team are managed by AST team members
The Technical Support Engineer will mainly be responsible for filesystem support of DDNs EXAScaler solutions. These solutions are based on the Lustre parallel filesystem. To achieve quick turnaround times on cases the employee will need to manage their own queue, triage tickets, collaborate with peers and the DDN field team.
The essential duties and responsibilities include but are not limited to:
Ability to work Wednesday through Saturday on a 4 day 10 hour shift
Resolve file system issues on large, scalable customer systems and ensure customer satisfaction
Create test plans and procedures for customer upgrades and troubleshooting
Work with engineering for enhancing product quality using customer feedback and use cases
Demonstrate a thorough technical understanding of clients’ needs
While this is a remote working position, it does require some travel and occasion customer on-site working
As this is a customer facing role it requires flexibility; and also includes a one-week on-call team rotation approximately every 12 weeks.
The Technical Support Engineer will mainly be responsible for filesystem support of DDNs EXAScaler solutions. These solutions are based on the Lustre parallel filesystem. To achieve quick turnaround times on cases the employee will need to manage their own queue, triage tickets, collaborate with peers and the DDN field team.
The essential duties and responsibilities include but are not limited to:
RequirementsThis employee must have considerable knowledge of file system operations, disk-based storage systems, operating systems (mostly Linux), networking and troubleshooting technique. Required are strong communication skills, including: ability to connect with customers via phone, virtual meetings and in written correspondences.
Minimum Requirements:
Must have 5+ years’ experience in a similar technical role
BSc in Electrical Engineering, Computer Science, Mathematics, Sciences, or equivalent
Experience supporting post-sales efforts is essential to success in this position
Proven in-depth technical knowledge and problem analysis skills
Excellent customer interfacing skills
Good verbal and written communication skills (English, second language beneficial)
Essential Technical Requirements:
Experience of Lustre; administration/implementation/support
Strong knowledge of Linux architecture and fundamentals
Good understanding of the technical fundamentals of the system infrastructure including:
Storage systems
Linux operating system
networking
file systems
Demonstrable understanding of data storage concepts: RAID/Erasure Coding, block storage, file systems, etc.
Understanding of networking concepts: IP, TCP, routing, etc.
Preferred Technical requirements include:
Other parallel filesystems such as SpectrumScale or StorNext
Experience reading, writing and debugging shell and Python or Perl scripts
Networking (InfiniBand Definite Plus)
Experience working with NAS protocols: NFS, CIFS, FTP,sftp,
Experience working with authentication protocols (ActiveDirectory, LDAP)
Company DescriptionDataDirect Networks (DDN.com) is a world leader in massively scalable storage systems. Headquartered in Chatsworth, California, we are the leading provider of scaleable high performance data storage. DDN enables its customers to extract value and deliver results from their information. Our customers include the world’s most data-intensive organizations and Enterprises, with use cases ranging from online content and social networking, high performance cloud and grid computing, artificial intelligence, machine learning, life sciences, media production, security and intelligence. Learn more about what DDN has to offer, its products and customers at www.ddn.com
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2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computer Programmer – Linked Data, Cybersecurity, HPC
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DeciSym, LLC
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Remote or Fort Washington, PA
Hide Details
SessionJob Postings
DescriptionThe Computer Programmer’s primary responsibility will be writing code for a new database engine. Day-to-day activities will center around time on keyboard writing, testing, and measuring the performance of new database capabilities. This will include significant opportunities for creative freedom in system design and development with guidance provided directly by the company founder. The Computer Programmer will use some of the world’s largest and most advanced supercomputers to contribute to the Department of Defense’s missions and align with DoD’s Artificial Intelligence (AI) strategy. Extensive one-on-one training on supercomputing, artificial intelligence, expert systems, ontologies, and cyber warfare will be provided.
Candidates must be able to respond to travel needs on little notice. Candidates must be able to work on technical programming challenges in a non-traditional workspace when required. Individual performance will be measured against best-in-class global practitioners.
Responsibilities
- Design, develop, and create a new database engine
- Create new capabilities to dominate a contested cyber environment
Relevant Skills
- Programming
- Ontology Engineering
- Linked Data
- High Performance Computing (HPC)
- Database Development
- C++
- Python
- Computer Science
- Cyber Warfare
- Expert Systems
Candidates must be able to respond to travel needs on little notice. Candidates must be able to work on technical programming challenges in a non-traditional workspace when required. Individual performance will be measured against best-in-class global practitioners.
Responsibilities
- Design, develop, and create a new database engine
- Create new capabilities to dominate a contested cyber environment
Relevant Skills
- Programming
- Ontology Engineering
- Linked Data
- High Performance Computing (HPC)
- Database Development
- C++
- Python
- Computer Science
- Cyber Warfare
- Expert Systems
Requirements- U.S. Citizenship required. Must be able to obtain and maintain a U.S. top secret clearance. Must be fully vaccinated.
- Bachelor's degree in Computer Science or related field required.
- Software development
- Database development
Company DescriptionDeciSym.AI was founded in April 2022 by Don Pellegrino, PhD., to solve challenges encountered while developing cyber security systems for the United States Department of Defense and performing data integration for scientific R&D in the Chemical Industry. DeciSym.AI solutions are tuned for the operational environment of secure data management while ensuring analysis results meet requirements for high performance and trust.
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2022-11-07
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Sr Software Engineer, HPC ( C++ | Linux )
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KLA
·
Ann Arbor, Michigan
Hide Details
SessionJob Postings
DescriptionResponsibilities:
• Design, code, and integrate system software for a Linux target
• Interact with Linux kernel
• Design & Develop Memory and compute Intensive applications within strict resource constraints
• Assist with the hardware design surrounding the Compute, Network, Memory & Storage
• Improve and maintain existing software components
• Perform test unit, verification, and validation of the product developed.
• Provide product support for released products to enable new customer use cases as well as fix problems on released hardware platforms.
• Design, code, and integrate system software for a Linux target
• Interact with Linux kernel
• Design & Develop Memory and compute Intensive applications within strict resource constraints
• Assist with the hardware design surrounding the Compute, Network, Memory & Storage
• Improve and maintain existing software components
• Perform test unit, verification, and validation of the product developed.
• Provide product support for released products to enable new customer use cases as well as fix problems on released hardware platforms.
RequirementsRequired Skills and Experience
• 5 years of experience of embedded or Linux Kernel programming
• Expert in C or C++ programming. Java is a plus.
• Very strong knowledge of Linux and Linux Internals
• Knowledge of Linux kernel and some experience with device-driver development
• Knowledge of TCP/IP, Network programming
• Ability to write effective and reusable code according to best practices
• Knowledge of hardware and low-level development is an asset
• Knowledge of Multithreaded, Multicore programming in C or C++. CUDA experience is a plus.
• Self-starter with excellent communication skills to interface with stakeholders and program managers to clarify requirements and implement tailored, but generalizable solutions for customer problems.
Minimum Qualifications
Doctorate (Academic) or work experience of 5 years , Master's Level Degree or work experience of 6 years , Bachelor's Level Degree or work experience of 7 years
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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·
2022-11-03
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Software Engineer (BBP)
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KLA
·
Milpitas, California
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SessionJob Postings
DescriptionWith over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA’s metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The Broadband Plasma Division (BBP) provides market-leading patterned wafer optical inspection systems for leading-edge IC manufacturing. Logic, foundry, and memory customers depend on BBP products to detect yield-critical defects for process debug and excursion monitoring at advanced process nodes. BBP flagship products include the 29xx and 39xx series which leverage Broadband Plasma technology to capture a wide range of defects with ultimate sensitivity at the optical inspection speeds needed for inline defect monitoring.
Responsibilities:
In this role, you will be expected to gather requirements, design and develop software infrastructure features for the image computer sub-system of the wafer inspector software. The IMC SW engineer will have skills to acquire, transform and present data from various sources to run advanced image processing algorithms on a high-performance computer cluster.
Ideal candidates are passionate about software and computer architecture. They will have exceptional skills and hands on experience with development in Java and C++ in a Linux environment. A deep understanding of multi-threaded, multi process and distributed software systems working in Linux HPC clusters is needed. Although familiarity with Machine Learning and Deep Learning solutions would be a big plus, this is primarily a Software Engineering Infrastructure position.
Responsibilities:
In this role, you will be expected to gather requirements, design and develop software infrastructure features for the image computer sub-system of the wafer inspector software. The IMC SW engineer will have skills to acquire, transform and present data from various sources to run advanced image processing algorithms on a high-performance computer cluster.
Ideal candidates are passionate about software and computer architecture. They will have exceptional skills and hands on experience with development in Java and C++ in a Linux environment. A deep understanding of multi-threaded, multi process and distributed software systems working in Linux HPC clusters is needed. Although familiarity with Machine Learning and Deep Learning solutions would be a big plus, this is primarily a Software Engineering Infrastructure position.
RequirementsEssential Skills:
Distributed & HPC Systems
Object Oriented and Multi-threaded Design & Programing in Java or C++
Network programming
Linux System Programming
Data Structures and algorithms
Scripting using python
Desirable Skills:
Cloud technologies for network, storage, containerization and compute clusters.
Building and configuring Linux kernels, and designing and troubleshooting network infrastructure;
Linux Device Driver Development
Minimum Qualifications
PhD
Master's Level Degree with work experience of 2 years
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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·
2022-11-03
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Software Engineer
·
KLA
·
Milpitas, California
Hide Details
SessionJob Postings
DescriptionResponsibilities
KLA is looking for passionate software developers to join us and help define and deliver high quality solutions to expand our features.
Help us create the HPC infrastructure for the image processing and data storage requirements for the next generation Semiconductor Wafer inspection machines.
Integrate multiple hardware and software subsystems to solve some of the most advanced technical challenges facing the semiconductor chip industry.
KLA is looking for passionate software developers to join us and help define and deliver high quality solutions to expand our features.
Help us create the HPC infrastructure for the image processing and data storage requirements for the next generation Semiconductor Wafer inspection machines.
Integrate multiple hardware and software subsystems to solve some of the most advanced technical challenges facing the semiconductor chip industry.
RequirementsQualifications
PhD Level Degree (with 0 years of experience) OR Master's Level Degree (with 3 years of experience) working with HPC or distributed systems.
You will fit right in if you have a sound understanding of the fundamentals of Computer Engineering and practical experience building distributed systems.
Someone who enjoys working on complex system software, tinkering with compute hardware, is very customer-centric, understands the big picture and feels strongly not only about building good software but about making that software achieve its goals in reality.
Experience with Object-Oriented software analysis with good working knowledge of Java and C/C#/C++ programming.
Ability to understand and design using UML (Unified Modeling Language) modeling
Requires good knowledge in computer architecture, multi-threaded/parallel processing applications.
Coursework in fields related to distributed computing architecture or high-performance computing
Semiconductor equipment experience preferred.
System control and image/data processing experience a plus.
Minimum Qualifications
Doctorate (Academic) or work experience of 0 years, Master's Level Degree or work experience of 2 years, Bachelor's Level Degree or work experience of 3 years
Company DescriptionKLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
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·
2022-11-03
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Senior Data Scientist
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RENCI - UNC-Chapel Hill
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Chapel Hill, NC
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SessionJob Postings
DescriptionThe Senior Data Scientist is responsible for developing and managing biomedical data science research projects, including holding senior leadership roles on those projects. The Senior Data Scientist will develop and apply quantitative methods to advance RENCI’s data science portfolio.
This position will provide data science expertise and technical leadership skills to multi-disciplinary and multi-institutional consortia in which RENCI participates. This position will be responsible for understanding the scientific needs of biomedical consortia and interacting with RENCI technical teams to deliver relevant solutions for these consortia. This position will collaborate extensively with internal and external stakeholders, fostering the implementation of the best practices of team science approaches to collaborative projects. This position is expected to develop research proposals for federal agencies, foundations, and state and local governments that support research at the convergence of domain sciences and data science, as well as to publish technical and scientific articles.
This position will provide data science expertise and technical leadership skills to multi-disciplinary and multi-institutional consortia in which RENCI participates. This position will be responsible for understanding the scientific needs of biomedical consortia and interacting with RENCI technical teams to deliver relevant solutions for these consortia. This position will collaborate extensively with internal and external stakeholders, fostering the implementation of the best practices of team science approaches to collaborative projects. This position is expected to develop research proposals for federal agencies, foundations, and state and local governments that support research at the convergence of domain sciences and data science, as well as to publish technical and scientific articles.
RequirementsMinimum:
Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor’s degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure.
Required:
- Degree in data science, computer science, life science, or a related field required.
- Ability to understand the architecture of the data ingest and analysis platforms and/or systems.
- Ability to oversee and manage large multi-faceted, multi-disciplinary, and multi-institutional research projects.
- Skill in Data Analytics, including Machine Learning / Artificial Intelligence.
- Ability to collaborate with diverse partners, and to communicate technical/scientific concepts to non-technical/non-scientific audiences.
Preferred:
- M.S. or Ph.D. in computer science, life science, data science, or a related field.
- Experience running scrum meetings and familiarity with agile software development practices.
- Experience with user-centered design.
- Familiarity with data curation and data sharing processes and policies.
- Experience with metadata standards for scientific data.
- Expertise with programming in a language such as Python or R.
- Ability to develop training/tutorial/webinar content.
- Familiarity with NIH awards.
- Excellent oral and written communication skills, including presentations to diverse constituencies, strong interpersonal communication, and human relations abilities.
- Ability to write proposals and publications
Company DescriptionAt the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about solving known problems – it’s about expanding human potential by unlocking data.
We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you’ll:
-Spend your time solving the interesting and unique problems of research and development.
-Shape your future through experimentation and unfettered access to premier education and research.
-Make connections to people and projects that ignite your passion.
We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our culture reflects that knowledge. We provide the tools you need to do your job effectively; we offer flexibility so you can be the most productive version of you; and we encourage thoughtful and challenging discourse.
Join our research institute at the University of North Carolina at Chapel Hill today and help us spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond.
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·
2022-11-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Systems Administrator
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Ohio Supercomputer Center
·
Columbus, Ohio
Hide Details
SessionJob Postings
DescriptionAt the Ohio Supercomputer Center, we are looking for a staff member to join our Operations Team. The HPC Systems Administrator will provide support and maintenance for our high-performance computing (HPC) infrastructure.
As an HPC Systems Administrator, you will have the opportunity to work with high performance computing on a large scale. Our Operations Team at Ohio Supercomputer Center works collaboratively as a team to diagnose problems and maintain our infrastructure. This role will work to maintain our HPC services using standardized procedures and extensive automation, including configuration management and log analysis tools.
You will perform the following:
Perform day-to-day tasks to ensure continuous operation, availability, and performance of research computing systems - 40%
Diagnose software and hardware failures, using well-defined procedures and automated tools to identify and fix problems - 20%
Monitor system health and performance - 20%
Open and track support requests with vendors - 15%
Other duties as assigned - 5%
This position is on day shift with occasional after-hours and weekend support as part of an on-call rotation. This position reports to the HPC Operations Manager. You’ll work collaboratively with other HPC systems staff to maintain operations of the HPC infrastructure.
The Ohio Supercomputer Center is an inclusive and welcoming environment and part of the Ohio Technology Consortium (OH-TECH). Because The Ohio State University serves as OH-TECH’s fiscal and legal agent, OH-TECH staff enjoy the same benefits as other Ohio State employees, including participation in the Ohio Public Employees Retirement System (OPERS), the Ohio State Health Plan, educational benefits and more.
The Ohio Supercomputer Center (OSC) accelerates discovery for Ohio’s academic and commercial researchers with processing power exceeding 1,000 desktop computers available any time, any place. OSC turns day of computation into minutes, creating a competitive advantage for Ohio at a fraction of the cost of alternatives, all with expert consultation and secure storage.
As the technology and information division of the Ohio Department of Higher Education (ODHE), the Ohio Technology Consortium provides high-tech solutions for Ohio’s colleges and universities to catalyze innovation in the modern knowledge economy. In addition to OSC, OH-TECH also includes OARnet and OhioLINK.
As an HPC Systems Administrator, you will have the opportunity to work with high performance computing on a large scale. Our Operations Team at Ohio Supercomputer Center works collaboratively as a team to diagnose problems and maintain our infrastructure. This role will work to maintain our HPC services using standardized procedures and extensive automation, including configuration management and log analysis tools.
You will perform the following:
Perform day-to-day tasks to ensure continuous operation, availability, and performance of research computing systems - 40%
Diagnose software and hardware failures, using well-defined procedures and automated tools to identify and fix problems - 20%
Monitor system health and performance - 20%
Open and track support requests with vendors - 15%
Other duties as assigned - 5%
This position is on day shift with occasional after-hours and weekend support as part of an on-call rotation. This position reports to the HPC Operations Manager. You’ll work collaboratively with other HPC systems staff to maintain operations of the HPC infrastructure.
The Ohio Supercomputer Center is an inclusive and welcoming environment and part of the Ohio Technology Consortium (OH-TECH). Because The Ohio State University serves as OH-TECH’s fiscal and legal agent, OH-TECH staff enjoy the same benefits as other Ohio State employees, including participation in the Ohio Public Employees Retirement System (OPERS), the Ohio State Health Plan, educational benefits and more.
The Ohio Supercomputer Center (OSC) accelerates discovery for Ohio’s academic and commercial researchers with processing power exceeding 1,000 desktop computers available any time, any place. OSC turns day of computation into minutes, creating a competitive advantage for Ohio at a fraction of the cost of alternatives, all with expert consultation and secure storage.
As the technology and information division of the Ohio Department of Higher Education (ODHE), the Ohio Technology Consortium provides high-tech solutions for Ohio’s colleges and universities to catalyze innovation in the modern knowledge economy. In addition to OSC, OH-TECH also includes OARnet and OhioLINK.
RequirementsRequired Education/Experience:
Bachelor's degree or an equivalent combination of education and experience.
4 years' experience working with high performance computing.
Professional experience administering multi-user Linux-based systems.
Experience automating common tasks in Linux using a scripting language such as Python or Ruby.
Ability to work effectively both within a team and independently, as circumstances warrant.
Strong organizational skills as well as interpersonal, written, and oral communication skills.
Eligible to work in an export controlled environment.
Desired Education/Experience:
Experience in system and related network administration of complex computer systems, specifically Linux systems and preferably Linux clusters.
Experience with InfiniBand networks.
Understanding of parallel file systems.
Experience collaborating with vendor support structures on difficult problems related to high performance computing.
Experience using log analysis tools such as Splunk or Elasticsearch.
Experience using configuration management tools like Puppet or Ansible.
Company DescriptionThe Ohio Supercomputer Center (OSC) accelerates
discovery for Ohio’s academic and commercial
researchers with processing power exceeding 1,000
desktop computers available any time, any place.
OSC turns day of computation into minutes, creating
a competitive advantage for Ohio at a fraction of the
cost of alternatives, all with expert consultation and
secure storage.
OSC is an inclusive and welcoming environment
and part of the Ohio Technology Consortium (OHTECH).
Because The Ohio State University serves
as OH-TECH’s fiscal and legal agent, OH-TECH
staff enjoy the same benefits as other Ohio State
employees, including participation in the Ohio Public
Employees Retirement System (OPERS), the Ohio
State Health Plan, educational benefits and more.
As the technology and information division of the
Ohio Department of Higher Education (ODHE), the
Ohio Technology Consortium provides high-tech
solutions for Ohio’s colleges and universities to
catalyze innovation in the modern knowledge
economy. In addition to OSC, OH-TECH also includes
OARnet and OhioLINK.
·
·
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Project Analyst
·
UNC-Chapel Hill
·
Chapel Hill, NC
Hide Details
SessionJob Postings
DescriptionThe University of North Carolina at Chapel Hill is offering a unique opportunity for an experienced Research Projects Analyst to be a part of a growing implementation team with the newly announced School of Data Science and Society (SDSS).
SDSS seeks a detail oriented and highly motivated individual for the position of Research Projects Analyst to maintain the interdependencies among a number of highly complex research and team science coordination projects funded by the NIH, NSF, and other federal and state government organizations. This individual will support a range of projects that will then be expanded to include other leading collaborative efforts between SDSS and UNC campus units.
The Research Projects Analyst will be responsible for developing a project management database and managing project execution to ensure adherence to budget, schedule, reporting, and scope in collaboration with SDSS and project leadership and other Research Project Managers as applicable. This individual will be involved with the day-to-day operations for these projects in collaboration with SDSS leadership to include attending meetings, note taking, capturing and tracking action deliverables, communicating with all teams, and tracking how projects are sharing resources, including technologies and people. This individual should be a strategic thinker, team player, and a demonstrated problem solver with a proven ability to make decisions.
Specific tasks include:
Providing program management to include strategic planning, communications, outreach to funded collaborators and/or project stakeholders to help manage team relations.
Coordinating multiple collaborative groups and activities.
Monitoring and tracking project milestones and deliverables.
Recognizing areas for internal improvement and developing plans for implementing updated or new processes and methods to facilitate project outcomes.
Conferring with project personnel to identify and resolve problems.
Working with relevant business offices and project leadership to develop project budgets, and supervising project resources to assure projects stay on track and within budget.
Working with relevant teams to collect data and write reports
Providing project management for proposals include tracking and gathering of required materials and creation of final documents.
Supporting event planning to execute events related to projects (workshops, hack-a thons, training events, and multi-institutional meetings).
SDSS seeks a detail oriented and highly motivated individual for the position of Research Projects Analyst to maintain the interdependencies among a number of highly complex research and team science coordination projects funded by the NIH, NSF, and other federal and state government organizations. This individual will support a range of projects that will then be expanded to include other leading collaborative efforts between SDSS and UNC campus units.
The Research Projects Analyst will be responsible for developing a project management database and managing project execution to ensure adherence to budget, schedule, reporting, and scope in collaboration with SDSS and project leadership and other Research Project Managers as applicable. This individual will be involved with the day-to-day operations for these projects in collaboration with SDSS leadership to include attending meetings, note taking, capturing and tracking action deliverables, communicating with all teams, and tracking how projects are sharing resources, including technologies and people. This individual should be a strategic thinker, team player, and a demonstrated problem solver with a proven ability to make decisions.
Specific tasks include:
Providing program management to include strategic planning, communications, outreach to funded collaborators and/or project stakeholders to help manage team relations.
Coordinating multiple collaborative groups and activities.
Monitoring and tracking project milestones and deliverables.
Recognizing areas for internal improvement and developing plans for implementing updated or new processes and methods to facilitate project outcomes.
Conferring with project personnel to identify and resolve problems.
Working with relevant business offices and project leadership to develop project budgets, and supervising project resources to assure projects stay on track and within budget.
Working with relevant teams to collect data and write reports
Providing project management for proposals include tracking and gathering of required materials and creation of final documents.
Supporting event planning to execute events related to projects (workshops, hack-a thons, training events, and multi-institutional meetings).
RequirementsMinimum:
Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor’s degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure.
Required:
Project Planning and Management:
Ability to plan and manage large, multi-faceted and specialized projects and assist with project events.
Ability to think critically to find solutions to complex problems.
Proven ability to lead complex project initiatives, develop and implement program strategies, and manage multiple projects simultaneously.
Ability to assist with the research, development, and execution of proposals including internal and external communications (written and oral) and engagement with collaborators and clients.
Ability to constructively engage research project staff to facilitate project outcomes.
Ability to understand internal workings of the department in relation to the external expectations of the clients and stakeholders.
Ability to edit and analyze scientific and technical informational materials or content.
Ability to write well according to appropriate style guides or accepted industry standards.
Ability to generate routine project reporting.
Interpersonal
Ability to establish and maintain a variety of positive and constructive working relationships.
Ability to understand internal workings of the department relative to external expectations of clients and stakeholders.
Technical:
Ability to use and incorporate various hardware and software packages in support of project outcomes.
Familiarity with project management tools
Ability to research and identify relevant new technologies and make recommendations for use and purchase.
Preferred:
The ideal candidate will have a PMP Certification and 3 years of experience in project management and/or program coordination and organization. Previous experience with federally funded projects and tools in an academic setting and/or a background in education is a plus.
Company DescriptionIn 2022, UNC-Chapel Hill launched the School of Data Science and Society (SDSS), a new school devoted to data science teaching, research, scholarship, service, and creativity. The SDSS vision is to be a leader in shaping the field of data science through an interdisciplinary and rigorous grounding in theory and methods with a human centric approach to the entire data life cycle.
The mission of the SDSS is to empower a diverse community of faculty conducting research in the fundamentals and/or the applications of data science. The school is training undergraduate, graduate, and professional students to be the next generation of data science leaders with the knowledge and skills to thrive in this data-driven world. The SDSS will serve the state, the nation, and the world through premier data science educational programs and innovative research directed to advancing the public good with human-centric and ethical applications.
The core elements of the SDSS include porous borders – leveraging our low-walled collaborative Carolina culture to solve major societal problems. Interdisciplinary research clusters that cross disciplines and school boundaries are a vital element of the school. The SDSS is focused on students and education – the emphasis is not just on data science majors but on all students becoming data literate. The school’s culture has an open and transparent structure, governance, and business model.
·
·
2022-09-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Software Developer
·
RENCI - UNC-Chapel Hill
·
Chapel Hill, NC
Hide Details
SessionJob Postings
DescriptionThe Research Software Developer will design and implement cloud native computing environments including (1) implementing data structures, algorithms, and workflows (2) applying DevOps automation to develop continuous integration pipelines as well as deployment, orchestration, and dynamic scaling capabilities (3) constantly improving security and observability via automated vulnerability detection, performance monitoring relative to service level agreements, and automating incident response. The Research Software Developer will work with RENCI management and staff to develop project requirements, and with users to demonstrate functionality and solicit feedback.
RequirementsMinimum:
Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor’s degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure.
Required:
At least three years of professional software development using Python, Java, or another major programming language. Experience applying design patterns, object oriented and functional programming, designing and troubleshooting concurrent systems and container based micro-services using Linux and the command line, deploying in cloud environments, applying operating systems concepts, installing system software and services, applying authentication and authorization concepts, and using databases are required. The position also requires a demonstrated practice of iterative, customer focused software development in a continuous integration setting involving multiple teams, a capacity for self education, interdisciplinary study and inquiry, effective oral and written communication skills and interpersonal communication, human relations and team building skills, and the ability to foster and maintain collaborations with local and national researchers and subject matter experts.
Preferred:
Experience with Docker containers, Kubernetes, Helm, Berkeley Data 8 Tech Stack, python based autograding tools such as ottergrader and gradescope, and authentication protocols like OpenID Connect and JWT are all desirable. A track record of team leadership, promotion of code review, and quality-oriented automation are also helpful.
Company DescriptionAre you ready to go beyond the state of the art?
At the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about solving known problems – it’s about expanding human potential by unlocking data.
We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you’ll:
-Spend your time solving the interesting and unique problems of research and development.
-Shape your future through experimentation and unfettered access to premier education and research.
-Make connections to people and projects that ignite your passion.
We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our culture reflects that knowledge. We provide the tools you need to do your job effectively; we offer flexibility so you can be the most productive version of you; and we encourage thoughtful and challenging discourse.
Join our research institute at the University of North Carolina at Chapel Hill today and help us spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond.
·
·
2022-10-24
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Data Architect
·
RENCI - UNC-Chapel Hill
·
Chapel Hill, NC
Hide Details
SessionJob Postings
DescriptionRenaissance Computing Institute (RENCI) is looking for a Research Data Architect to support and promote data interoperability, contribute to the development of informatics tools and the analysis of complex data sets. This position primarily supports biomedical and environmental research projects.
The Research Data Architect will work with colleagues with expertise in data analytics, advanced computing including cloud computing systems, software engineering and domain expertise in the biomedical and environmental sciences.. The Research Data Architect will work in interdisciplinary teams, promoting innovation and collaboration.
Responsibilities:
- Work with colleagues to develop tools and methods to enhance data interoperability
- Collaborate with software engineers and researchers to help design data systems to advance scientific discovery
- Manage a data contribution forecasting and tracking system to allow effective resource allocation across consortia that support data sharing
- Provide leadership in metadata analysis and standards, as well as knowledge representation
- Contribute to interdisciplinary teams; be a team player
- Train data contributors on the application of data standards and relevant tools
- Contribute to proposals and business development efforts
The Research Data Architect will work with colleagues with expertise in data analytics, advanced computing including cloud computing systems, software engineering and domain expertise in the biomedical and environmental sciences.. The Research Data Architect will work in interdisciplinary teams, promoting innovation and collaboration.
Responsibilities:
- Work with colleagues to develop tools and methods to enhance data interoperability
- Collaborate with software engineers and researchers to help design data systems to advance scientific discovery
- Manage a data contribution forecasting and tracking system to allow effective resource allocation across consortia that support data sharing
- Provide leadership in metadata analysis and standards, as well as knowledge representation
- Contribute to interdisciplinary teams; be a team player
- Train data contributors on the application of data standards and relevant tools
- Contribute to proposals and business development efforts
RequirementsMinimum:
Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor’s degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure.
Required:
- A fundamental understanding of data science, and experience with metadata and data models is essential.
- Experience with data modeling tools and methods, as well as demonstrated excellent verbal and written communication skills are important.
- Data structure and algorithm design with Python or another major programming language.
- Relational, graph, and key-value datastores.
- Container orchestration with Kubernetes.
- Horizontally scalable microservices and REST services.
- Understanding of Data Management and Data Governance approaches and tooling.
- Experience working on ‘Big Data platforms’, enabling non-technical users to gain insight into research data.
- Knowledge of Federated/ distributed Data EcoSystems (FAIR Compliant)
BS in Computer Science, Information Science, Bioinformatics or related discipline and 6 years of experience or an MS and 3 years of experience.
Preferred:
- Map-reduce based computation models like Spark.
- Search engine elements like Elasticsearch and dense vectors.
- Biological knowledge graphs and semantic web technologies.
- Analysis of omics data, including sequence assembly and analysis, and/ or phenotype data analysis.
Company DescriptionAre you ready to go beyond the state of the art?
At the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about solving known problems – it’s about expanding human potential by unlocking data.
We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you’ll:
-Spend your time solving the interesting and unique problems of research and development.
-Shape your future through experimentation and unfettered access to premier education and research.
-Make connections to people and projects that ignite your passion.
We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our culture reflects that knowledge. We provide the tools you need to do your job effectively; we offer flexibility so you can be the most productive version of you; and we encourage thoughtful and challenging discourse.
Join our research institute at the University of North Carolina at Chapel Hill today and help us spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond.
·
·
2022-08-01
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Post-Doc Research Associate
·
RENCI - UNC-Chapel Hill
·
Chapel Hill, NC
Hide Details
SessionJob Postings
DescriptionThe Renaissance Computing Institute at The University of North Carolina at Chapel Hill seeks to fill one postdoctoral opening for a NOAA-funded project that will develop statistical and other approaches to project coastal storm surge assessments into future current climate scenarios. The successful candidate will be expected to conduct simulations on high-performance computers, develop new and modify existing input datasets, and develop approaches for projecting current climate assessments for storm surge into future climate scenarios. The postdoctoral associate will write technical reports and scientific papers to present research results and assist in developing proposals for external funding. The position is renewed on an annual basis, for a minimum of 2 years, based on satisfactory performance.
RequirementsMinimum:
Candidates must have a doctoral degree from an accredited institution in physical oceanography, climate science, or a related science or engineering discipline.
Required:
Must have an interest in coastal hazards and risk, numerical modeling and methods, and data analysis. A successful candidate will have: (1) a strong quantitative and analytic background, (2) strong programming skills in Fortran and Python or Matlab, and (3) effective communication skills with an ability to work within a multi-disciplinary research team.
Preferred:
Knowledge and experience with numerical modeling applications with the ADCIRC storm surge and wind-wave model is preferred.
Company DescriptionAre you ready to go beyond the state of the art?
At the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about solving known problems – it’s about expanding human potential by unlocking data.
We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you’ll:
-Spend your time solving the interesting and unique problems of research and development.
-Shape your future through experimentation and unfettered access to premier education and research.
-Make connections to people and projects that ignite your passion.
We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our culture reflects that knowledge. We provide the tools you need to do your job effectively; we offer flexibility so you can be the most productive version of you; and we encourage thoughtful and challenging discourse.
Join our research institute at the University of North Carolina at Chapel Hill today and help us spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond.
·
·
2022-07-20
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Deputy Director
·
RENCI - UNC-Chapel Hill
·
Chapel Hill, NC
Hide Details
SessionJob Postings
DescriptionThe Deputy Director (DD) is a key leadership position at RENCI, and is a member of the Office of the Director. The DD will provide guidance to cutting-edge scientific and technological research projects that enable discovery and economic innovation. The DD must be a hands-on, highly motivated professional who enjoys a challenging and stimulating work environment.
The DD must be passionate about the promise and role of technological solutions to the world’s critical problems, and must play a pivotal role in continuing to develop RENCI as a world-class center for Data Science, and Research and Educational Cyberinfrastructure. The DD will work closely with RENCI teams to advance the organization’s goals. The DD will serve as a key advisor to the Director in recognizing and enabling future directions for research and development, and work closely with colleagues in developing and implementing RENCI’s strategic plan.
The DD must work with faculty and research groups at UNC-Chapel Hill, Duke University, NCSU, as well as universities around the world, to collaboratively develop competitive and transformative research projects that further RENCl’s mission. The DD’s work will also involve interfacing with UNC Chapel Hill faculty and leadership, the UNC System, the state of North Carolina, the national research community, and a wide range of funding agencies and partners across the U.S. The DD will build and enhance positive relationships with institutional leadership.
The DD will work with the Director and the COO to manage the many day-to-day activities of this dynamic, multidisciplinary institute, and support cross-RENCI collaborations and initiatives.
The DD will provide mentoring, administrative and technical leadership, and oversight to talented RENCI staff. The DD will manage multiple reporting responsibilities within or in collaboration with the UNC system and the Duke, NCSU and UNC-CH campuses.
The DD may also be responsible for UNC system-wide functions and may direct the activities of affiliated organizations, research partnerships, and state or federal programs in collaboration with a campus or university.
The Deputy Director will assume following responsibilities:
- Oversight, management and mentorship of all research and infrastructure directors.
- Oversight of RENCI’s research portfolio, including the tracking research and technology trends, analysis and advisory of research directions and priorities, and the development of processes for shared technical resources in RENCI research teams. In consultation with the Director, COO, and the Team Leads, this individual will develop strategic research directions for RENCI. Provide high level guidance for proposal development and project execution carried out by the research teams, as well as advise on the development of staffing plans and staff recruitment.
- Advise the director on current and emerging research and funding trends, strategic opportunities, and other functions, to ensure that RENCI is prepared to address opportunities as they arise. Through close collaboration with the COO, support efficient RENCI organizational operations, as well as contribute to the engagement efforts towards developing a network of collaborators across academia, industry and government.
- Serve as the Director’s representative when called upon.
- Maintain a research program that is aligned with RENCI’s strategic goals. It is desirable for this individual to obtain a secondary appointment as a Research or Adjunct faculty member in a department or school at UNC-Chapel Hill that is appropriate to the individual’s scholarship. This will aid in advancing the individual’s research, facilitating a student pipeline and increased scholarship opportunities.
The DD must be passionate about the promise and role of technological solutions to the world’s critical problems, and must play a pivotal role in continuing to develop RENCI as a world-class center for Data Science, and Research and Educational Cyberinfrastructure. The DD will work closely with RENCI teams to advance the organization’s goals. The DD will serve as a key advisor to the Director in recognizing and enabling future directions for research and development, and work closely with colleagues in developing and implementing RENCI’s strategic plan.
The DD must work with faculty and research groups at UNC-Chapel Hill, Duke University, NCSU, as well as universities around the world, to collaboratively develop competitive and transformative research projects that further RENCl’s mission. The DD’s work will also involve interfacing with UNC Chapel Hill faculty and leadership, the UNC System, the state of North Carolina, the national research community, and a wide range of funding agencies and partners across the U.S. The DD will build and enhance positive relationships with institutional leadership.
The DD will work with the Director and the COO to manage the many day-to-day activities of this dynamic, multidisciplinary institute, and support cross-RENCI collaborations and initiatives.
The DD will provide mentoring, administrative and technical leadership, and oversight to talented RENCI staff. The DD will manage multiple reporting responsibilities within or in collaboration with the UNC system and the Duke, NCSU and UNC-CH campuses.
The DD may also be responsible for UNC system-wide functions and may direct the activities of affiliated organizations, research partnerships, and state or federal programs in collaboration with a campus or university.
The Deputy Director will assume following responsibilities:
- Oversight, management and mentorship of all research and infrastructure directors.
- Oversight of RENCI’s research portfolio, including the tracking research and technology trends, analysis and advisory of research directions and priorities, and the development of processes for shared technical resources in RENCI research teams. In consultation with the Director, COO, and the Team Leads, this individual will develop strategic research directions for RENCI. Provide high level guidance for proposal development and project execution carried out by the research teams, as well as advise on the development of staffing plans and staff recruitment.
- Advise the director on current and emerging research and funding trends, strategic opportunities, and other functions, to ensure that RENCI is prepared to address opportunities as they arise. Through close collaboration with the COO, support efficient RENCI organizational operations, as well as contribute to the engagement efforts towards developing a network of collaborators across academia, industry and government.
- Serve as the Director’s representative when called upon.
- Maintain a research program that is aligned with RENCI’s strategic goals. It is desirable for this individual to obtain a secondary appointment as a Research or Adjunct faculty member in a department or school at UNC-Chapel Hill that is appropriate to the individual’s scholarship. This will aid in advancing the individual’s research, facilitating a student pipeline and increased scholarship opportunities.
RequirementsMinimum:
Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity or professional-level background in sponsored research administration, will accept a relevant Bachelor’s degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution.
Required:
- A degree in computer science, engineering, or other STEM area.
- A minimum of 10 years in research leadership at an academic institution or industry/government research laboratory.
- A minimum of 5 years experience in managing and mentoring technically trained, senior research staff.
- A record of scholarly research as evidenced by publications and grant support.
- A minimum of 10 years of distinguished record of research leadership, including experience building a successful research program, and recruiting and mentoring of scientific staff.
- Ability to motivate teams, and lead them towards common goals.
- Ability to manage resources and ensure ROI.
- Ability to identify and solve scientific problems and develop solutions that are effective and efficient.
- Ability to solve issues that arise in the workplace.
- Ability to analyze a situation and make a decision based on the information available.
- Ability to thrive in a fast-paced, start-up environment.
- Strong ability to collaborate with a variety of individuals in pursuit of common goals and developing effective strategies for the organization.
- Strong interpersonal skills.
Preferred:
- A graduate degree in computer science, engineering, or other STEM area.
- A demonstrated ability to make data-driven decisions and demonstrate the art of making data driven decisions.
- Ability to communicate complex scientific concepts to a variety of audiences.
- Masters complex issues swiftly and the ability to explain the dimensions and the solutions articulately to decision makers and staff.
- Ability to work as a team member across the organization and with external stakeholders.
- Demonstrated expertise in computer science, engineering, biomedical informatics, or other STEM discipline as evidenced by publications and patents.
- Ability to conduct self in an exemplary fashion to achieve goals and set example for others within the organization.
- Creativity, enthusiasm and passion for working in a dynamic and complex environment.
- Ability to work with flexibility on several tasks simultaneously and to meet various concurrent deadlines.
- Ability to effectively interact with all levels of University employees as well as outside contacts.
- Function as a team player and works to maintain harmonious working relationships with coworkers, peers and supervisors
Company DescriptionAre you ready to go beyond the state of the art?
At the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about solving known problems – it’s about expanding human potential by unlocking data.
We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you’ll:
-Spend your time solving the interesting and unique problems of research and development.
-Shape your future through experimentation and unfettered access to premier education and research.
-Make connections to people and projects that ignite your passion.
We know that diversity of people and ideas is a cornerstone of innovation, and we work to ensure our culture reflects that knowledge. We provide the tools you need to do your job effectively; we offer flexibility so you can be the most productive version of you; and we encourage thoughtful and challenging discourse.
Join our research institute at the University of North Carolina at Chapel Hill today and help us spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond.
·
·
2022-10-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Assistant Director of Analytics and Data Science
·
RENCI - UNC-Chapel Hill
·
Chapel Hill, NC
Hide Details
SessionJob Postings
DescriptionRenaissance Computing Institute (RENCI) is seeking an Assistant Director of Analytics and Data Science to develop an independent research program in Data Science including artificial intelligence, machine learning, knowledge graphs and other analytical methods. The individual is expected to support and manage biomedical and environmental research projects, aid in management of the Analytics and Data Science team, and mentor, guide and evaluate several direct reports.
The Assistant Director will provide technical leadership, setting the analytical direction of research projects. The Assistant Director will apply their Data Science expertise to help advance RENCI’s research portfolio in Data Science, leading the development and execution of new research projects and proposals, both independently and in collaboration with internal and external partners.
The Assistant Director will develop algorithms and tools involving, but not limited to: image analysis, natural language processing, graph analysis, question answering, and semantic search. Prior experience in one or more of these areas is essential.
The Assistant Director will work with colleagues with expertise in data analytics, advanced computing including cloud computing systems, software engineering and domain expertise in the biomedical and environmental sciences. The Researcher will work in interdisciplinary teams, both within and beyond RENCI, promoting innovation and collaboration.
Responsibilities:
- Develop independent research portfolio in area of expertise
- Manage research projects, and provide analytical direction
- Work with colleagues to develop and apply tools and methods
- Collaborate with software engineers and researchers to help design analytical systems to advance scientific discovery
- Provide leadership in user engagement and experience
- Contribute to interdisciplinary teams
- Train data contributors on the application of data standards and relevant tools
- Develop proposals and business development efforts
The Assistant Director will provide technical leadership, setting the analytical direction of research projects. The Assistant Director will apply their Data Science expertise to help advance RENCI’s research portfolio in Data Science, leading the development and execution of new research projects and proposals, both independently and in collaboration with internal and external partners.
The Assistant Director will develop algorithms and tools involving, but not limited to: image analysis, natural language processing, graph analysis, question answering, and semantic search. Prior experience in one or more of these areas is essential.
The Assistant Director will work with colleagues with expertise in data analytics, advanced computing including cloud computing systems, software engineering and domain expertise in the biomedical and environmental sciences. The Researcher will work in interdisciplinary teams, both within and beyond RENCI, promoting innovation and collaboration.
Responsibilities:
- Develop independent research portfolio in area of expertise
- Manage research projects, and provide analytical direction
- Work with colleagues to develop and apply tools and methods
- Collaborate with software engineers and researchers to help design analytical systems to advance scientific discovery
- Provide leadership in user engagement and experience
- Contribute to interdisciplinary teams
- Train data contributors on the application of data standards and relevant tools
- Develop proposals and business development efforts
RequirementsMinimum:
Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor’s degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure.
Required:
- BS in Data Science, Computer Science, Information Science, Bioinformatics, Biology or other scientific discipline
- Technical knowledge of Data Science and Analytics
- Experience in Machine Learning / Artificial Intelligence domains such as image analysis and natural language processing
- Software development skills in a relevant programming language (Python, R, Java, etc)
- Experience developing grant proposals
Preferred:
- MS or PhD in Data Science, Computer Science, Information Science, Bioinformatics, Biology or other scientific discipline
- Expertise with Knowledge Graph creation and analysis
- Experience with bioinformatics or biomedical data
- Experience with semantic web techniques
- Experience with CI/CD pipelines
Company DescriptionAt the Renaissance Computing Institute (RENCI), we use data, creativity, and inclusive teaming to revitalize how science is done. Fostering data science expertise and creating cyberinfrastructure isn’t just about solving known problems – it’s about expanding human potential by unlocking data.
We need innovators, builders, strategists, technologists, architects, and creative thinkers across all domains to drive this work forward. When you join our team, you’ll:
-Spend your time solving the interesting and unique problems of research and development.
-Shape your future through experimentation and unfettered access to premier education and research.
-Make connections to people and projects that ignite your passion.
Join our research institute at the University of North Carolina at Chapel Hill today and help us spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond.
·
·
2022-11-03
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Aerospace Technologist - Fluid Mechanics
·
NASA Langley Research Center
·
Hampton, VA
Hide Details
SessionJob Postings
DescriptionServe as a Research AST, Fluid Physics engineer in the Computational Aerosciences Branch of the Research Directorate. The branch performs research in computational fluid dynamics (CFD) and computational aeroacoustics to improve the fundamental understanding of physics associated with the fluid mechanics and noise generation for complex aerospace systems.
Duties
• Duties described below are at the full-performance level. Duties assigned at a lower grade level will be of more limited scope, performed with less independence and limited complexity; duties will be commensurate with the grade of selected employee.
• Develop, apply, and validate computational methods for the prediction of the radiated noise from unsteady flow simulations.
• Apply advanced simulation techniques on high-performance-computing resources to extend the physical understanding of noise generation mechanisms and apply concepts to reduce the radiated noise.
• Evaluate comparisons of experimental and computational results and report the findings at technical conferences and in the scientific literature.
• Serve as a technical expert and interface with other researchers in industry, universities, NASA, and other government agencies.
• Formulate and conduct research in problem areas that are highly complex and of considerable scope working on problems that are often difficult to define and require novel approaches and sophisticated research techniques.
Duties
• Duties described below are at the full-performance level. Duties assigned at a lower grade level will be of more limited scope, performed with less independence and limited complexity; duties will be commensurate with the grade of selected employee.
• Develop, apply, and validate computational methods for the prediction of the radiated noise from unsteady flow simulations.
• Apply advanced simulation techniques on high-performance-computing resources to extend the physical understanding of noise generation mechanisms and apply concepts to reduce the radiated noise.
• Evaluate comparisons of experimental and computational results and report the findings at technical conferences and in the scientific literature.
• Serve as a technical expert and interface with other researchers in industry, universities, NASA, and other government agencies.
• Formulate and conduct research in problem areas that are highly complex and of considerable scope working on problems that are often difficult to define and require novel approaches and sophisticated research techniques.
Requirements• MS in engineering, applied mathematics, computer science, physics, or equivalent, with strong background in with high fidelity numerical simulations (i.e., computational fluid dynamics (CFD)) to analyze aerospace vehicles and components such as commercial/military aircraft, space transportation systems, launch vehicles; working with unsteady fluid dynamics (e.g., acoustic noise generation, separated flows); writing, reporting, and presenting results to include publications.
• A desire to quickly learn and apply new paradigms relevant to current and emerging computational methods, and an eagerness to work in a team environment.
• Ability to successfully complete a background investigation required to obtain a NASA badge.
• US citizenship or permanent resident status is a bona fide requirement.
Desired Skills:
• PhD preferred
• Knowledge of fluid mechanics, numerical methods, and/or physical modeling techniques.
Company DescriptionAbout NASA and the Computational AeroSciences Branch – The advertised position will reside in the Computational AeroSciences Branch (CASB) in the Research and Technology Directorate at NASA Langley Research Center (Langley Research Center | NASA) in Hampton, Virginia. The branch mission is to develop and apply aerodynamic and acoustic simulations methods for aerospace vehicles with applications in all speed regimes, from subsonic to hypersonic flight. The branch works to improve the fundamental understanding of physics associated with the fluid mechanics (e.g., transition and turbulence) and noise generation for complex aerospace systems. Research is carried out to develop new physics-based prediction methods and extensions of existing methods for the analysis and design of complex three-dimensional configurations, including verification, validation and the use of massively parallel high-performance computing architectures. Of particular interest is research for development of advanced techniques and models for the prediction and control of turbulent flows, with an emphasis on the high Reynolds number flows encountered on full-scale aircraft configurations. Objectives of the research conducted in the branch include: to advance the state-of-the art of CFD for efficiency, accuracy and robustness; flow control; efficient design of aerospace vehicles; methods for airframe noise prediction and control of noise sources. Research is accomplished through the formulation, conduct, analysis, correlation, documentation, and dissemination of results from various research studies.
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2022-11-07
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Aerospace Technologist - Computational Scientist
·
NASA Langley Research Center
·
Hampton, VA
Hide Details
SessionJob Postings
DescriptionDescription : Serve as a Research AST, Computational Scientist in the Computational Aerosciences Branch of the Research Directorate, performing research and development in computational science for aerospace vehicles with applications in all speed regimes, from subsonic to hypersonic flight. The focus of the research is to develop new physics-based prediction methods and extensions of existing methods for the analysis and design of complex three-dimensional configurations, including verification, validation and the use of massively parallel high-performance computing architectures.
Duties
• Duties described below are at the full-performance level. Duties assigned at a lower grade level will be of more limited scope, performed with less independence and limited complexity; duties will be commensurate with the grade of selected employee.
• Develop, apply and validate new computational fluid dynamics techniques/algorithms tailored to advanced and/or emerging computer hardware technology for computational aerosciences applications (CFD, error estimation, grid adaptation, multi-physics applications, etc.)
• Develop advanced techniques and models for the prediction and control of turbulent flows, with an emphasis on the high Reynolds number flows encountered on full-scale aircraft configurations.
• Report findings at technical conferences and in the scientific literature.
• Serves as a technical expert and interfaces with other researchers in industry, universities, NASA, and other government agencies
• Conducts research in problem areas that are highly complex and of considerable scope. Problems are often difficult to define, require novel approaches and sophisticated research techniques
• Duties may include monitoring and evaluating research contracts and grants to accomplish collaborative research with external organizations.
Duties
• Duties described below are at the full-performance level. Duties assigned at a lower grade level will be of more limited scope, performed with less independence and limited complexity; duties will be commensurate with the grade of selected employee.
• Develop, apply and validate new computational fluid dynamics techniques/algorithms tailored to advanced and/or emerging computer hardware technology for computational aerosciences applications (CFD, error estimation, grid adaptation, multi-physics applications, etc.)
• Develop advanced techniques and models for the prediction and control of turbulent flows, with an emphasis on the high Reynolds number flows encountered on full-scale aircraft configurations.
• Report findings at technical conferences and in the scientific literature.
• Serves as a technical expert and interfaces with other researchers in industry, universities, NASA, and other government agencies
• Conducts research in problem areas that are highly complex and of considerable scope. Problems are often difficult to define, require novel approaches and sophisticated research techniques
• Duties may include monitoring and evaluating research contracts and grants to accomplish collaborative research with external organizations.
RequirementsRequirements:
• MS in engineering, applied mathematics, computer science, physics, or equivalent, with strong background in (1) developing, applying and validating computational fluid dynamics algorithms on high-performance computer architectures for aeroscience applications, (2) planning, conducting and reporting on professional research topics related to physics-based prediction methods, and (3) writing, reporting, and presenting results to include publications.
• A desire to quickly learn and apply new paradigms relevant to current and emerging computational methods, and an eagerness to work in a team environment.
• Ability to successfully complete a background investigation required to obtain a NASA badge.
• US citizenship or permanent resident status is a bona fide requirement.
Desired Skills:
• PhD preferred
• Knowledge of fluid mechanics, numerical methods, and/or physical modeling techniques.
Company DescriptionAbout NASA and the Computational AeroSciences Branch – The advertised position will reside in the Computational AeroSciences Branch (CASB) in the Research and Technology Directorate at NASA Langley Research Center (Langley Research Center | NASA) in Hampton, Virginia. The branch mission is to develop and apply aerodynamic and acoustic simulations methods for aerospace vehicles with applications in all speed regimes, from subsonic to hypersonic flight. The branch works to improve the fundamental understanding of physics associated with the fluid mechanics (e.g., transition and turbulence) and noise generation for complex aerospace systems. Research is carried out to develop new physics-based prediction methods and extensions of existing methods for the analysis and design of complex three-dimensional configurations, including verification, validation and the use of massively parallel high-performance computing architectures. Of particular interest is research for development of advanced techniques and models for the prediction and control of turbulent flows, with an emphasis on the high Reynolds number flows encountered on full-scale aircraft configurations. Objectives of the research conducted in the branch include: to advance the state-of-the art of CFD for efficiency, accuracy and robustness; flow control; efficient design of aerospace vehicles; methods for airframe noise prediction and control of noise sources. Research is accomplished through the formulation, conduct, analysis, correlation, documentation, and dissemination of results from various research studies.
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·
2022-11-07
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Aerospace Technologist - Fluid Dynamics
·
NASA Langley Research Center
·
Hampton, VA
Hide Details
SessionJob Postings
DescriptionDescription: Serve as a Research AST, Fluid Physics engineer in the Computational Aerosciences Branch of the Research Directorate. The branch performs research in computational fluid dynamics (CFD) and computational aeroacoustics to improve the fundamental understanding of physics associated with the fluid mechanics and noise generation for complex aerospace systems.
Duties
The duties described below are at the full-performance level. Duties assigned at a lower grade level will be of more limited scope, performed with less independence and limited complexity; duties will be commensurate with the grade of selected employee.
• Develop, apply, and validate computational methods for the prediction of the radiated noise from unsteady flow simulations.
• Apply advanced simulation techniques on high-performance-computing resources to extend the physical understanding of noise generation mechanisms and apply concepts to reduce the radiated noise.
• Evaluate comparisons of experimental and computational results and report the findings at technical conferences and in the scientific literature.
• Serve as a technical expert and interface with other researchers in industry, universities, NASA, and other government agencies.
• Formulate and conduct research in problem areas that are highly complex and of considerable scope working on problems that are often difficult to define and require novel approaches and sophisticated research techniques.
Duties
The duties described below are at the full-performance level. Duties assigned at a lower grade level will be of more limited scope, performed with less independence and limited complexity; duties will be commensurate with the grade of selected employee.
• Develop, apply, and validate computational methods for the prediction of the radiated noise from unsteady flow simulations.
• Apply advanced simulation techniques on high-performance-computing resources to extend the physical understanding of noise generation mechanisms and apply concepts to reduce the radiated noise.
• Evaluate comparisons of experimental and computational results and report the findings at technical conferences and in the scientific literature.
• Serve as a technical expert and interface with other researchers in industry, universities, NASA, and other government agencies.
• Formulate and conduct research in problem areas that are highly complex and of considerable scope working on problems that are often difficult to define and require novel approaches and sophisticated research techniques.
RequirementsRequirements:
• MS in engineering, applied mathematics, computer science, physics, or equivalent, with strong background in with high fidelity numerical simulations (i.e., computational fluid dynamics (CFD)) to analyze aerospace vehicles and components such as commercial/military aircraft, space transportation systems, launch vehicles; working with unsteady fluid dynamics (e.g., acoustic noise generation, separated flows); writing, reporting, and presenting results to include publications.
• A desire to quickly learn and apply new paradigms relevant to current and emerging computational methods, and an eagerness to work in a team environment.
• Ability to successfully complete a background investigation required to obtain a NASA badge.
• US citizenship or permanent resident status is a bona fide requirement.
Desired Skills:
• PhD preferred
• Knowledge of fluid mechanics, numerical methods, and/or physical modeling techniques.
Company DescriptionAbout NASA and the Computational AeroSciences Branch – The advertised position will reside in the Computational AeroSciences Branch (CASB) in the Research and Technology Directorate at NASA Langley Research Center (Langley Research Center | NASA) in Hampton, Virginia. The branch mission is to develop and apply aerodynamic and acoustic simulations methods for aerospace vehicles with applications in all speed regimes, from subsonic to hypersonic flight. The branch works to improve the fundamental understanding of physics associated with the fluid mechanics (e.g., transition and turbulence) and noise generation for complex aerospace systems. Research is carried out to develop new physics-based prediction methods and extensions of existing methods for the analysis and design of complex three-dimensional configurations, including verification, validation and the use of massively parallel high-performance computing architectures. Of particular interest is research to develop advanced techniques and models for the prediction and control of turbulent flows, with an emphasis on the high Reynolds number flows encountered on full-scale aircraft configurations. Objectives of the research conducted in the branch include: to advance the state-of-the art of CFD for efficiency, accuracy and robustness; flow control; efficient design of aerospace vehicles; methods for airframe noise prediction and control of noise sources. Research is accomplished through problem formulation, computational and experimental studies, analyses, documentation, and the dissemination of results from various research studies.
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·
2022-11-07
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
System Administrator - HPC and Data Analytics Testbeds
·
Sandia National Lab
·
New Mexico
Hide Details
SessionJob Postings
DescriptionSandia's Advanced Architecture Platforms Administration Team develops, deploys, and manages testbed hardware in support of high performance computing (HPC) application research and development. The team manages ground breaking, one-off, and experimental hardware clusters, as well as standard systems that use unique software stacks. Members of the team work with local colleagues at Sandia, as well as collaborators at other Department of Energy laboratories and industry partners.
In this role, you will apply your existing knowledge of Linux systems on scientific or data analysis clusters to maintain and improve existing and future scientific computing testbed resources. You will work with all aspects of cluster management, from cabling new clusters, to compiling and testing kernel drivers for new hardware, to creating automation that keeps the testbeds running efficiently. This is an outstanding opportunity to partner with researchers and vendors to explore and influence technical directions and drive transformation in how scientific and national security applications use computing in the coming decade and beyond.
This position is primarily on-site at Sandia’s Albuquerque, New Mexico site, with some telecommuting permitted. Sandia provides generous relocation benefits for successful candidates. This job is posted at the level of Information Systems Architect (Experienced).
Every day will be different in our team, but typical activities include:
Collaborate with research and development staff, colleagues, and vendors to build and maintain testbed resources for testing novel networking, accelerators, scientific software workflows, and other technologies
Develop new operational methodologies and design of infrastructure to enable efficient operations of multiple, concurrent, emerging technology and prototype HPC Clusters
With the full testbeds team, maintain all system aspects of security, networks, filesystems, system software installation, and user support
Participate in all aspects of the HPC system lifecycle including facility integration, standup, acceptance testing, performance benchmarking, operational support, and reclamation.
In this role, you will apply your existing knowledge of Linux systems on scientific or data analysis clusters to maintain and improve existing and future scientific computing testbed resources. You will work with all aspects of cluster management, from cabling new clusters, to compiling and testing kernel drivers for new hardware, to creating automation that keeps the testbeds running efficiently. This is an outstanding opportunity to partner with researchers and vendors to explore and influence technical directions and drive transformation in how scientific and national security applications use computing in the coming decade and beyond.
This position is primarily on-site at Sandia’s Albuquerque, New Mexico site, with some telecommuting permitted. Sandia provides generous relocation benefits for successful candidates. This job is posted at the level of Information Systems Architect (Experienced).
Every day will be different in our team, but typical activities include:
Collaborate with research and development staff, colleagues, and vendors to build and maintain testbed resources for testing novel networking, accelerators, scientific software workflows, and other technologies
Develop new operational methodologies and design of infrastructure to enable efficient operations of multiple, concurrent, emerging technology and prototype HPC Clusters
With the full testbeds team, maintain all system aspects of security, networks, filesystems, system software installation, and user support
Participate in all aspects of the HPC system lifecycle including facility integration, standup, acceptance testing, performance benchmarking, operational support, and reclamation.
RequirementsBachelor’s degree in Computer Science, Computer Engineering, Information Systems Engineering (CIS/MIS), or relevant STEM field plus five more years of relevant IT experience
Minimum of 5 years’ experience managing Linux/Unix clusters dedicated to scientific computing, data analysis, or similar workflows
Experience with one or more of the following: parallel filesystems, high speed networking, accelerators, application code optimization for HPC, HPC resource and job management
Ability to acquire and maintain a DOE Q level clearance
Company DescriptionSandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov*These benefits vary by job classification.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Scientist, HPC and AI
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Oak Ridge National Laboratory
·
Oak Ridge, TN
Hide Details
SessionJob Postings
DescriptionOverview:
The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is seeking a driven research scientist in the very broad areas High-Performance Computing (HPC) and AI and their intersection. Examples of areas of research interest include but not limited to:
Computational performance of AI/ML algorithms, including the ability to use modern computing hardware and software frameworks efficiently.
Data parallelism, model-parallelism, collective communication patterns and strategies for large-scale distributed machine learning using framework such as PyTorch and TensorFlow.
Operational data (power, energy, CPU/GPU utilizattion, job scheduling, large scale storage and I/O traces, system logs) analytics to enable data-driven intelligence and facility innovation.
AI algorithms for handling sensitive data using methods such as Federated Learning, Differential Privacy, and Secure Multiparty Computing, among others.
Data analytics pipelines from the Edge to Exascale.
Visualization of large-scale HPC/AI discovery campaigns.
The NCCS and its Leadership Computing Program (OLCF) provides world class computing facilities to applications across all computational domains and disciplines, and through this position you will be able to impact and further the mission of NCCS and Oak Ridge National Laboratory. We are an inclusive dynamic environment that welcomes those with initiative and creativity.
Major Duties and Responsibilities:
Research, develop and deploy new cutting-edge tools and frameworks of scalable ML/DL on leadership computing platforms.
In collaboration with domain scientists, identify and extract ML/DL workflow, and patterns, and drive the design, development, and deployment of new scalable ML-as-service solutions.
Engage with ML academic communities to stay on top of latest advancements in ML/DL.
Author peer reviewed papers, technical papers, reports, and proposals.
The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is seeking a driven research scientist in the very broad areas High-Performance Computing (HPC) and AI and their intersection. Examples of areas of research interest include but not limited to:
Computational performance of AI/ML algorithms, including the ability to use modern computing hardware and software frameworks efficiently.
Data parallelism, model-parallelism, collective communication patterns and strategies for large-scale distributed machine learning using framework such as PyTorch and TensorFlow.
Operational data (power, energy, CPU/GPU utilizattion, job scheduling, large scale storage and I/O traces, system logs) analytics to enable data-driven intelligence and facility innovation.
AI algorithms for handling sensitive data using methods such as Federated Learning, Differential Privacy, and Secure Multiparty Computing, among others.
Data analytics pipelines from the Edge to Exascale.
Visualization of large-scale HPC/AI discovery campaigns.
The NCCS and its Leadership Computing Program (OLCF) provides world class computing facilities to applications across all computational domains and disciplines, and through this position you will be able to impact and further the mission of NCCS and Oak Ridge National Laboratory. We are an inclusive dynamic environment that welcomes those with initiative and creativity.
Major Duties and Responsibilities:
Research, develop and deploy new cutting-edge tools and frameworks of scalable ML/DL on leadership computing platforms.
In collaboration with domain scientists, identify and extract ML/DL workflow, and patterns, and drive the design, development, and deployment of new scalable ML-as-service solutions.
Engage with ML academic communities to stay on top of latest advancements in ML/DL.
Author peer reviewed papers, technical papers, reports, and proposals.
RequirementsBasic Qualifications:
Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position.
Preferred Requirements:
2+ years of relevant research experience outside of Ph.D.
Experience leading major projects in laboratory or academic settings.
A strong publication record and record of developing high-impact capabilities and tools.
ORNL Ethics and Conduct
As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity
Company Descriptions the largest Department of Energy science and energy laboratory, ORNL engages in diverse research activities that support the department’s mission of ensuring America’s security and prosperity by addressing its energy, environmental and security challenges.
Leveraging the talents of its world-class researchers and exceptional support staff, Oak Ridge National Laboratory is helping solve critical scientific and technical challenges and, in so doing, creating economic opportunity for the nation. ORNL provides access to unique facilities, laboratories, and equipment, drawing thousands of visiting researchers each year. A vibrant and welcoming scientific community, ORNL embraces the pursuit of innovative ideas and invests in its people to ensure their success.
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
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·
2022-11-08
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Support Engineer
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Parallel Works
·
Remote
Hide Details
SessionJob Postings
DescriptionThe Role:
This position involves supporting users on the Parallel Works platform, which runs on all three leading public clouds: AWS, Azure and Google Cloud. You’ll be responsible for supporting the existing platform and its cluster deployment processes. You will become an expert in interacting with HPC job schedulers, cloud APIs, workflow management frameworks, and container systems to create and support responsive, reliable and easy-to-use deployments of cloud clusters.
Parallel Works provides engineers the rare opportunity to interact with cutting edge cloud and on-premises technologies. We are very interested in hearing from individuals with a knack for supporting and engaging with a growing user base. Experience with one or more of the following specialties: architecting high performance computing clusters, parallel file systems, high throughput networking, and GPU clusters is also a plus.
This position involves supporting users on the Parallel Works platform, which runs on all three leading public clouds: AWS, Azure and Google Cloud. You’ll be responsible for supporting the existing platform and its cluster deployment processes. You will become an expert in interacting with HPC job schedulers, cloud APIs, workflow management frameworks, and container systems to create and support responsive, reliable and easy-to-use deployments of cloud clusters.
Parallel Works provides engineers the rare opportunity to interact with cutting edge cloud and on-premises technologies. We are very interested in hearing from individuals with a knack for supporting and engaging with a growing user base. Experience with one or more of the following specialties: architecting high performance computing clusters, parallel file systems, high throughput networking, and GPU clusters is also a plus.
RequirementsRequired Experience
● BSci in Computer Science or related field or 2+ years experience in tech support role
● 2+ years of Linux shell and Python scripting
● Thorough knowledge of the Linux operating system and services.
● Network service programming including tunneling and port forwarding.
● Git revision control, branching and merging techniques using GitHub.
● Experience with parallel profiling and debugging
Desired Experience
● Experience automating on-premise deployments
● Deploying containerized applications on Kubernetes, Docker and Singularity
● Database experience with SQL and JSON/NoSQL databases, ideally PostgreSQL and MongoDB
● High speed data movement and parallel IO tools and techniques
● Architecting high performance computing clusters - on cloud and/or on premises
● Experience deploying parallel file systems (Lustre, BeeGFS/BeeOND, GPFS)
● Maintain up-to-date knowledge of cloud resources and design patterns in AWS, GCP, and Azure
● Familiarity with HPC schedulers such as PBS and Slurm.
Company DescriptionAbout Us:
Do you like high performance computing and empowering researchers? Parallel Works is a Chicago-based startup whose SaaS platform makes high performance computing (HPC) workflows easy, fast and collaborative on hybrid cloud and in supercomputing environments. The platform acts as middleware between wide ranges of computing resources and allows organizations to leverage their resource, billing and user hierarchies in a uniform way. Our customers range from small and nimble startups, to government agencies, to global manufacturing companies.
The interview process includes a panel interview and an assessment designed to highlight your relevant skills.
Parallel Works is an Affirmative Action, Equal Opportunity Employer. As part of our standard hiring process for new employees, employment with Parallel Works will be contingent upon successful completion of a comprehensive technical evaluation and a background check.
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·
2022-11-08
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Full Stack Software Developer
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Oak Ridge National Laboratory
·
Oak Ridge, TN
Hide Details
SessionJob Postings
DescriptionOverview:
The Analytics and AI Methods at Scale (AAIMS) Group in the National Center for Computational Science (NCCS) seeks highly motivated individual(s) to work with our staff scientists to design and develop scalable data pipeline, as well as web-based interactive visual analytic applications to drive toward operational intelligence. We are looking for someone that is creative, well-rounded, and has the eagerness and technical curiosity to explore and work with exciting new technologies. You should be comfortable following software best practices and be able to contribute to a range of projects from initial development to continued improvement.
The NCCS and its Leadership Computing Program (OLCF) provides world class computing facilities to applications across all computational domains and disciplines, and through this position you will be able to impact and further the mission of NCCS and Oak Ridge National Laboratory. We are an inclusive dynamic environment that welcomes those with initiative and creativity.
Major Duties/Responsibilities:
NCCS collects operational data from various sources such as the HPC facility, storage backends, networks, parallel file systems, and applications and jobs at very high velocity and volume. You will have the opportunity to leverage your expertise in software engineering to help build the scalable data pipelines as well as web-based visual analytical applications that aims to enhance situational awareness & operational efficiency of our users & operations.
While data science experience is not required, you will help architect such systems by collaborating in an interdisciplinary team of researchers and engineers from backgrounds in data science, software engineering and system software, with ample growth opportunities.
Major related areas of activities are listed below but are not limited to:
Design and develop scalable data pipeline components that perform data acquisition, processing, and handling.
Design, implement, or support web based interactive visual analytics applications that leverages the data artifacts from the underlying data pipelines & machine learning development activities from live data.
Operation & maintenance of an eco-system of data pipeline, workflow components, services, and applications in production
Support staff scientists to conduct scalable data processing, analytics, operational insight extraction, and visualization by providing software engineering support in building systems, tools, and frameworks.
The Analytics and AI Methods at Scale (AAIMS) Group in the National Center for Computational Science (NCCS) seeks highly motivated individual(s) to work with our staff scientists to design and develop scalable data pipeline, as well as web-based interactive visual analytic applications to drive toward operational intelligence. We are looking for someone that is creative, well-rounded, and has the eagerness and technical curiosity to explore and work with exciting new technologies. You should be comfortable following software best practices and be able to contribute to a range of projects from initial development to continued improvement.
The NCCS and its Leadership Computing Program (OLCF) provides world class computing facilities to applications across all computational domains and disciplines, and through this position you will be able to impact and further the mission of NCCS and Oak Ridge National Laboratory. We are an inclusive dynamic environment that welcomes those with initiative and creativity.
Major Duties/Responsibilities:
NCCS collects operational data from various sources such as the HPC facility, storage backends, networks, parallel file systems, and applications and jobs at very high velocity and volume. You will have the opportunity to leverage your expertise in software engineering to help build the scalable data pipelines as well as web-based visual analytical applications that aims to enhance situational awareness & operational efficiency of our users & operations.
While data science experience is not required, you will help architect such systems by collaborating in an interdisciplinary team of researchers and engineers from backgrounds in data science, software engineering and system software, with ample growth opportunities.
Major related areas of activities are listed below but are not limited to:
Design and develop scalable data pipeline components that perform data acquisition, processing, and handling.
Design, implement, or support web based interactive visual analytics applications that leverages the data artifacts from the underlying data pipelines & machine learning development activities from live data.
Operation & maintenance of an eco-system of data pipeline, workflow components, services, and applications in production
Support staff scientists to conduct scalable data processing, analytics, operational insight extraction, and visualization by providing software engineering support in building systems, tools, and frameworks.
RequirementsBasic Qualifications:
B.S. degree in computer science, or related technical subjects and 2+ years of relevant experience, or equivalent combination of education and experience
Fluent programming in Python and/or JavaScript.
Solid understanding of full technology stack (e.g., HTTPS, RESTful services, client-side frameworks, data persistency technologies)
Preferred Qualifications:
M.S. degree in computer science or software engineering or equivalent program and at least 1 year of relevant experience.
Familiarity in industry software engineering practices that touches test driven development, continuous integration & delivery (deployment), and site reliability engineering
Data engineering experience and knowledge leveraging various frameworks, systems, and tools to handle large datasets in motion
Experience in developing web applications, web services API, and/or web-based interactive visual analytics applications
Working experience using Kubernetes, container management & orchestration in a production environment.
Benefits at ORNL:
UT Battelle offers an exceptional benefits package to include matching 401K, Pension Plan, Paid Vacation and Medical / Dental plan. Onsite amenities include Credit Union, Medical Clinic and free Fitness facilities.
For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.
Relocation:
UT Battelle offers a wide range of relocation benefits for individuals and families to make it easier to come and work here. If you are invited to interview, please ask your Recruiter about relocating with ORNL.
Company DescriptionAs the largest Department of Energy science and energy laboratory, ORNL engages in diverse research activities that support the department’s mission of ensuring America’s security and prosperity by addressing its energy, environmental and security challenges.
Leveraging the talents of its world-class researchers and exceptional support staff, Oak Ridge National Laboratory is helping solve critical scientific and technical challenges and, in so doing, creating economic opportunity for the nation. ORNL provides access to unique facilities, laboratories, and equipment, drawing thousands of visiting researchers each year. A vibrant and welcoming scientific community, ORNL embraces the pursuit of innovative ideas and invests in its people to ensure their success.
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
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·
2022-11-09
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Lead Full Stack Software Developer
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Oak Ridge National Laboratory
·
Oak Ridge, TN
Hide Details
SessionJob Postings
DescriptionOverview:
The Data Lifecycle and Scalable Workflows Group at Oak Ridge National Laboratory (ORNL) is seeking a Full Stack Software Developer to add to our team. In this position, you will provide products and services for scientific data management at leadership-class scale. The ideal candidate is a full-stack developer that is comfortable working across multiple technologies. Prior experience with C/C++/Python, data-heavy applications, distributed systems, and microservices is preferred but not required. To be successful in this role, you must be team oriented, well-versed in computer science fundamentals, and demonstrate a drive for self-learning. Our team has a diverse skill set and are natural problem solvers who share a passion about supporting scientists and enabling new discoveries for humanity, while working on some of the most challenging problems with cutting-edge technologies.
This position is part of the Advanced Technologies Section within the National Center for Computational Sciences (NCCS) Division at ORNL. NCCS has a deep legacy in High Performance Computing (HPC) operating leadership-class systems, deploying the world’s first exascale system (Frontier) and largest parallel file system. Data is at the heart of science and workflows reduce a scientist’s cognitive overhead and increase science reproducibility - the Data Lifecycle and Scalable Workflows Group tackles these challenges for supercomputing facilities.
Major Duties and Responsibilities:
Produce software applications and science-based systems to manage big data
Collaborate with other research and technical professionals to develop new capabilities that execute on ORNL’s leading data and compute infrastructures
Support multiple technology projects at the same time
Develop, test, and deploy distributed high-throughput services
Optimize software for speed and scalability
Evaluate and test software that might be deployed in the future
The Data Lifecycle and Scalable Workflows Group at Oak Ridge National Laboratory (ORNL) is seeking a Full Stack Software Developer to add to our team. In this position, you will provide products and services for scientific data management at leadership-class scale. The ideal candidate is a full-stack developer that is comfortable working across multiple technologies. Prior experience with C/C++/Python, data-heavy applications, distributed systems, and microservices is preferred but not required. To be successful in this role, you must be team oriented, well-versed in computer science fundamentals, and demonstrate a drive for self-learning. Our team has a diverse skill set and are natural problem solvers who share a passion about supporting scientists and enabling new discoveries for humanity, while working on some of the most challenging problems with cutting-edge technologies.
This position is part of the Advanced Technologies Section within the National Center for Computational Sciences (NCCS) Division at ORNL. NCCS has a deep legacy in High Performance Computing (HPC) operating leadership-class systems, deploying the world’s first exascale system (Frontier) and largest parallel file system. Data is at the heart of science and workflows reduce a scientist’s cognitive overhead and increase science reproducibility - the Data Lifecycle and Scalable Workflows Group tackles these challenges for supercomputing facilities.
Major Duties and Responsibilities:
Produce software applications and science-based systems to manage big data
Collaborate with other research and technical professionals to develop new capabilities that execute on ORNL’s leading data and compute infrastructures
Support multiple technology projects at the same time
Develop, test, and deploy distributed high-throughput services
Optimize software for speed and scalability
Evaluate and test software that might be deployed in the future
RequirementsBasic Qualifications:
Bachelor’s degree in Computer Science, Software Engineering, or related field
8+ years of software development experience (an equivalent combination of education and experience may be considered)
Proficiency with any of the following languages: C/C++, Go, or Python
Proficiency with any front-end languages (e.g., Javascript, AngularJS, React)
Experience with containers (e.g., Docker) and container orchestration (e.g., Kubernetes)
Experience with version control systems (e.g., Git)
Desired Qualifications:
10+ years of software development
Experience with back end, middleware, and front-end
Experience with CI/CD practices, test methodologies
Knowledge of Agile development methodologies and tools
Familiarity with open-source development tools and techniques
Evaluating/integrating COTS/open-source software where appropriate (we don’t have time to reinvent the wheel)
Highly skilled in people management/development, team oriented, collaborative
Strong problem-solving skills
Ability to think critically
Excellent written and oral communication skills
Company DescriptionAs the largest Department of Energy science and energy laboratory, ORNL engages in diverse research activities that support the department’s mission of ensuring America’s security and prosperity by addressing its energy, environmental and security challenges.
Leveraging the talents of its world-class researchers and exceptional support staff, Oak Ridge National Laboratory is helping solve critical scientific and technical challenges and, in so doing, creating economic opportunity for the nation. ORNL provides access to unique facilities, laboratories, and equipment, drawing thousands of visiting researchers each year. A vibrant and welcoming scientific community, ORNL embraces the pursuit of innovative ideas and invests in its people to ensure their success.
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
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2022-11-09
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Director, Artificial Intelligence Programs
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Oak Ridge National Laboratory
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Oak Ridge, TN
Hide Details
SessionJob Postings
DescriptionOak Ridge National Laboratory (ORNL) is seeking a Director of Artificial Intelligence Programs to lead laboratory research, development and application of AI and machine learning (AI/ML) to solve problems of national importance. Oak Ridge National Laboratory is a U.S. Department of Energy laboratory located near Knoxville, Tennessee with a broad mission in science and engineering. ORNL delivers world-class scientific facilities, including DOE’s Leadership Class Computing Facility and the Spallation Neutron Source. The AI Program Director will lead efforts to deliver a foundational AI/ML capability supporting ORNL’s broad mission and deliver world-class solutions in computer and computational science, neutron science, materials science, biology and health science, nuclear engineering, isotopes, manufacturing, energy, and climate science. This position will report directly to the Associate Laboratory Director for Computing and Computational Sciences.
Major Duties/Responsibilities:
Lead ORNL’s Artificial Intelligence Initiative, which is funded through the Laboratory’s Directed Research and Development Program
Engage with laboratory senior leadership to develop strategic objectives and priorities for AI/ML research.
Serve as the lab point of contact and SME for AI to include but not limited to;
Serving as the first contact to build collaborations
Serving as subject matter expert for speaking engagements
Serving as an AI SME to DOE and other organizations
Lead a capture team for any large AI program opportunities (e.g centers)
Act in both a managerial and technical capacity in providing project leadership.
Engage with human resources and other laboratory leaders to hire and retain a world-class diverse AI/ML workforce.
Work with scientists and engineers across ORNL and other DOE laboratories to demonstrate advancements in AI in science and engineering applications.
Work with colleagues at DOE and other DOE laboratories to develop a national strategy and research program to deliver an AI capability for science.
Major Duties/Responsibilities:
Lead ORNL’s Artificial Intelligence Initiative, which is funded through the Laboratory’s Directed Research and Development Program
Engage with laboratory senior leadership to develop strategic objectives and priorities for AI/ML research.
Serve as the lab point of contact and SME for AI to include but not limited to;
Serving as the first contact to build collaborations
Serving as subject matter expert for speaking engagements
Serving as an AI SME to DOE and other organizations
Lead a capture team for any large AI program opportunities (e.g centers)
Act in both a managerial and technical capacity in providing project leadership.
Engage with human resources and other laboratory leaders to hire and retain a world-class diverse AI/ML workforce.
Work with scientists and engineers across ORNL and other DOE laboratories to demonstrate advancements in AI in science and engineering applications.
Work with colleagues at DOE and other DOE laboratories to develop a national strategy and research program to deliver an AI capability for science.
RequirementsBasic Qualifications:
Ph.D. in Computer Science, Mathematics, Statistics, or related STEM discipline.
12+ years of relevant research experience outside of Ph.D.
Established track record of research in artificial intelligence or machine learning
Demonstrated success in program development.
Experience in leadership and management, including both staff and program leadership.
Preferred Qualifications:
Extensive experience in developing, planning, organizing, leading and managing activities of a major organizational unit within a major R&D facility, including a working knowledge of policies and guidelines that relate to administration and management of complex R&D organizations.
Ability to develop a long-term vision for AI at ORNL and strategic plan in alignment with DOE priorities.
Prior experience in a variety of scientific and engineering domains.
Extensive experience managing large projects with multi-million-dollar budgets.
Excellent communication skills and technical expertise at the highest levels of scientific enterprise.
Working knowledge of DOE organization and programs and the ability to work within that structure.
Demonstrated ability to work in collaborative, interdisciplinary teams and to lead by influence
Interest and ability to work with colleagues in a wide range of science and engineering disciplines.
Prior knowledge or experience of the structure and culture at ORNL.
ORNL Ethics and Conduct:
As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity
Company Descriptions the largest Department of Energy science and energy laboratory, ORNL engages in diverse research activities that support the department’s mission of ensuring America’s security and prosperity by addressing its energy, environmental and security challenges.
Leveraging the talents of its world-class researchers and exceptional support staff, Oak Ridge National Laboratory is helping solve critical scientific and technical challenges and, in so doing, creating economic opportunity for the nation. ORNL provides access to unique facilities, laboratories, and equipment, drawing thousands of visiting researchers each year. A vibrant and welcoming scientific community, ORNL embraces the pursuit of innovative ideas and invests in its people to ensure their success.
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.
Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
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·
2022-11-08
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software architect (Remote US / Canada)
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Agnostiq
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Remote / Canada / USA
Hide Details
SessionJob Postings
DescriptionAs a Software Architect, you will play a significant role in the design of a variety of cutting-edge cloud computing projects that serve as an extension of Covalent, our open-source workflow management tool. In this role, you will be responsible for executing the product's technical specifications & software stack, while ensuring its scalability for future growth. You will work closely with engineering to assist in the planning and implementation of these projects. The ideal candidate is a strategic problem solver and is comfortable in a startup environment. He/she will possess the following hard and soft skills:
1) Ability to see the big picture - the ideal candidate will understand how different pieces of the application stack, including the cloud components, front-end, back-end and databases fit together in a holistic manner.
2) Ability to work across multiple layers of the stack - the ideal candidate will be able to assess & evaluate the software product on both the horizontal (across technology) and vertical (across low level details to high level architecture) levels.
3) Interest in learning and evaluating new technologies - the ideal candidate will be a quick study, keen to assess and recommend new technologies for the application stack.
4) Ability to bridge product and technology - the ideal candidate will be a bridge between product and technology by virtue of their strong communication skills, and their ability to identify and articulate potential risks and impacts on product timelines.
Responsibilities:
- Review the business/product requirements and aid in the design of our current product portfolio.
- Document, diagram and validate your technical vision at a high level, and present to key stakeholders
- Evaluate and recommend tools, technologies, and processes to ensure the highest quality product outcomes.
- Understand concepts surrounding our SaaS services, including but not limited to, cloud infrastructure, APIs, microservices architecture, scalability, performance, data storage, serverless computing, front-end etc.
- Maintain constant alignment with Engineering to ensure the implementation coincides with high level specifications and technical design by scoping the required issues and epics.
- Supporting the engineering team if required by adapting into a hands-on developer. Some of the technologies we use: Python, React, Terraform, AWS Cloud
- Understand product requirements, breaking complex features down into achievable engineering goals.
- Continuously improve and optimize the application’s SDLC, architecture, and tech stack over time
1) Ability to see the big picture - the ideal candidate will understand how different pieces of the application stack, including the cloud components, front-end, back-end and databases fit together in a holistic manner.
2) Ability to work across multiple layers of the stack - the ideal candidate will be able to assess & evaluate the software product on both the horizontal (across technology) and vertical (across low level details to high level architecture) levels.
3) Interest in learning and evaluating new technologies - the ideal candidate will be a quick study, keen to assess and recommend new technologies for the application stack.
4) Ability to bridge product and technology - the ideal candidate will be a bridge between product and technology by virtue of their strong communication skills, and their ability to identify and articulate potential risks and impacts on product timelines.
Responsibilities:
- Review the business/product requirements and aid in the design of our current product portfolio.
- Document, diagram and validate your technical vision at a high level, and present to key stakeholders
- Evaluate and recommend tools, technologies, and processes to ensure the highest quality product outcomes.
- Understand concepts surrounding our SaaS services, including but not limited to, cloud infrastructure, APIs, microservices architecture, scalability, performance, data storage, serverless computing, front-end etc.
- Maintain constant alignment with Engineering to ensure the implementation coincides with high level specifications and technical design by scoping the required issues and epics.
- Supporting the engineering team if required by adapting into a hands-on developer. Some of the technologies we use: Python, React, Terraform, AWS Cloud
- Understand product requirements, breaking complex features down into achievable engineering goals.
- Continuously improve and optimize the application’s SDLC, architecture, and tech stack over time
Requirements- 5+ years of experience as a software engineer or technical architect
- Strong expertise in following technologies
- Python, Bash, Linux, AWS cloud technology, web technologies, databases, API development, Terraform, React
- General experience with DevOps and CI/CD practices
- Strong communication, presentation and organizational skills
- Ability to adapt to fast changing environments
- Experience and understanding of how modern web applications are developed and deployed in distributed cloud-based platforms
- Experience architecting SaaS products
Nice-to-haves:
- Leadership experience & ability to interact with peers and clients at all levels
- Experience with architecting software products from inception to launch is a big plus
- Experience engaging with the open-source software community
Company DescriptionAgnostiq is developing Covalent, an open-source workflow orchestration platform designed to help users manage and execute tasks in heterogeneous computing environments. You can learn more about the project at: https://github.com/AgnostiqHQ/covalent
Agnostiq is a fully distributed team with roots in Toronto and team members across Canada and the United States.
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·
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Automation Engineer
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Parallel Works
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Remote
Hide Details
SessionJob Postings
DescriptionThe Role
This position involves development and enhancement of the Parallel Works platform, which runs on all three leading public clouds: AWS, Azure and Google Cloud. You’ll be responsible for developing automations which extend the existing platform and its cluster deployment processes. You will become an expert in interacting with HPC job schedulers, cloud APIs, workflow management frameworks, and container systems to create responsive, reliable and easy-to-use deployments of cloud clusters.
Parallel Works provides developers the rare opportunity to interact with cutting edge cloud and on-premises technologies. We are very interested in hearing from individuals with experience with one or more of the following specialties: architecting high performance computing clusters, parallel file systems, high throughput networking, and GPU clusters.
This position involves development and enhancement of the Parallel Works platform, which runs on all three leading public clouds: AWS, Azure and Google Cloud. You’ll be responsible for developing automations which extend the existing platform and its cluster deployment processes. You will become an expert in interacting with HPC job schedulers, cloud APIs, workflow management frameworks, and container systems to create responsive, reliable and easy-to-use deployments of cloud clusters.
Parallel Works provides developers the rare opportunity to interact with cutting edge cloud and on-premises technologies. We are very interested in hearing from individuals with experience with one or more of the following specialties: architecting high performance computing clusters, parallel file systems, high throughput networking, and GPU clusters.
RequirementsRequired Experience
● BSci in Computer Science or related field.
● 5+ years of programming experience. ● 3+ years of automation experience using Terraform, Ansible, and/or Linux shell and Python scripting ● Deploying containerized applications on Kubernetes, Docker and Singularity ● Thorough knowledge of the Linux operating system and services. ● Familiarity with command-line shell interpreters and scripting techniques ● Network service programming including tunneling and port forwarding. ● Git revision control, branching and merging techniques using GitHub. ● Experience programming in TypeScript, Python, or Golang ● Experience with parallel profiling and debugging Desired Experience ● Advanced degree (MSci or PhD) in Computer Science ● Experience automating on-premise deployments ● Database experience with SQL and JSON/NoSQL databases, ideally PostgreSQL and MongoDB ● High speed data movement and parallel IO tools and techniques ● Architecting high performance computing clusters - on cloud and/or on premises ● Experience deploying parallel file systems (Lustre, BeeGFS/BeeOND, GPFS) ● Maintain up-to-date knowledge of cloud resources and design patterns in AWS, GCP, and Azure ● Familiarity with HPC schedulers such as PBS and Slurm
● 5+ years of programming experience. ● 3+ years of automation experience using Terraform, Ansible, and/or Linux shell and Python scripting ● Deploying containerized applications on Kubernetes, Docker and Singularity ● Thorough knowledge of the Linux operating system and services. ● Familiarity with command-line shell interpreters and scripting techniques ● Network service programming including tunneling and port forwarding. ● Git revision control, branching and merging techniques using GitHub. ● Experience programming in TypeScript, Python, or Golang ● Experience with parallel profiling and debugging Desired Experience ● Advanced degree (MSci or PhD) in Computer Science ● Experience automating on-premise deployments ● Database experience with SQL and JSON/NoSQL databases, ideally PostgreSQL and MongoDB ● High speed data movement and parallel IO tools and techniques ● Architecting high performance computing clusters - on cloud and/or on premises ● Experience deploying parallel file systems (Lustre, BeeGFS/BeeOND, GPFS) ● Maintain up-to-date knowledge of cloud resources and design patterns in AWS, GCP, and Azure ● Familiarity with HPC schedulers such as PBS and Slurm
Company DescriptionAbout Us
Do you like high performance computing and empowering researchers? Parallel Works is a Chicago-based startup whose SaaS platform makes high performance computing (HPC) workflows easy, fast and collaborative on hybrid cloud and in supercomputing environments. The platform acts as middleware between wide ranges of computing resources and allows organizations to leverage their resource, billing and user hierarchies in a uniform way. Our customers range from small and nimble startups, to government agencies, to global manufacturing companies.
The interview process includes a panel interview and an assessment designed to highlight your relevant skills.
Parallel Works is an Affirmative Action, Equal Opportunity Employer. As part of our standard hiring process for new employees, employment with Parallel Works will be contingent upon successful completion of a comprehensive technical evaluation and a background check.
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·
2022-11-08
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Virtual Office/Business Manager
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Parallel Works
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Remote
Hide Details
SessionJob Postings
DescriptionAre you an experienced virtual office manager? Do you find new technologies like High Performance Computing (HPC), machine learning and artificial intelligence (ML/AI) intriguing? Are you a detail-oriented, self-starter who enjoys coordinating the crucial administrative components at the heart of a technology start-up? If so, you might be interested in a position as a Virtual Office Manager at Parallel Works.
As Parallel Works Virtual Office Manager, you will have the opportunity to support a technology engineering and sales team in a cross-functional, distributed environment. Parallel Works is a leader in democratizing high performance computing technology to support compute-intensive research across academia, government, and industry. We are advancing our world-class technology platform and looking for a well-organized Virtual Office Manager who enjoys managing key office administration responsibilities from tracking and managing accounts payable/receivable, to designing internal organizational systems and customer and partner relationship documentation, to tracking the financial runway.
The ideal candidate is an experienced office manager with excellent organizational and communication skills.
As Parallel Works Virtual Office Manager, you will have the opportunity to support a technology engineering and sales team in a cross-functional, distributed environment. Parallel Works is a leader in democratizing high performance computing technology to support compute-intensive research across academia, government, and industry. We are advancing our world-class technology platform and looking for a well-organized Virtual Office Manager who enjoys managing key office administration responsibilities from tracking and managing accounts payable/receivable, to designing internal organizational systems and customer and partner relationship documentation, to tracking the financial runway.
The ideal candidate is an experienced office manager with excellent organizational and communication skills.
RequirementsOBJECTIVES OF THIS ROLE
● Ensure peak organizational operations
● Provide suggestions for preventative measures by identifying issues
● Assist in the implementation of policies and procedures, measure outcomes against standards, and improve operational flow when possible
● Coordinate internal and external resources and cultivate relationships with vendors
● Oversee virtual office interactions, responding to requests and questions
RESPONSIBILITIES
● Organize, update, and maintain confidential business records including: financial, personnel, insurance, grant management, partner, and customer documentation
● Provide direct administrative support as needed including scheduling appointments, meetings, and events, booking travel, maintaining filing system, mailing and shipping packages, and updating contact database and employee list
● Assist in the implementation of employee recruiting processes
● Provide administrative support for developing and maintaining Human Resources policies and procedures
SKILLS and QUALIFICATIONS
● 2+ years of office management experience
● Strong time-management and people skills, flexibility, and multitasking ability
● Advanced computer skills and experience with online platforms
● Proficiency with Microsoft Office and aptitude to learn new software and systems
● Experience developing internal systems
● Ability to handle confidential information
Company DescriptionAbout Us
Do you like high performance computing and empowering researchers? Parallel Works is a Chicago-based startup whose SaaS platform makes high performance computing (HPC) workflows easy, fast and collaborative on hybrid cloud and in supercomputing environments. The platform acts as middleware between wide ranges of computing resources and allows organizations to leverage their resource, billing and user hierarchies in a uniform way. Our customers range from small and nimble startups, to government agencies, to global manufacturing companies.
The interview process includes a panel interview and an assessment designed to highlight your relevant skills.
Parallel Works is an Affirmative Action, Equal Opportunity Employer. As part of our standard hiring process for new employees, employment with Parallel Works will be contingent upon successful completion of a comprehensive technical evaluation and a background check.
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·
2022-11-08
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Security Engineer
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionSecurity Engineer - 97151
Division: SN-Scientific Networking
Berkeley Lab’s (LBNL, https://www.lbl.gov/) Energy Sciences Network (ESnet) Division is a scientific network that interconnects the DOE national laboratory system; is widely-regarded as a global innovator in network architectures, tools, and applications; and is currently the fastest scientific network in the world. This is a full time position on the ESnet security team, which is responsible for protecting ESnet assets, responding to computer security incidents, and advancing information security tools and architectures within the global R&E community in support of scientific inquiry.
We have an immediate opening for a Security Engineer (Computer Systems Engineer) to provide information security services and support to ESnet, primarily acting in a threat hunting and analyst role.
What You Will Do:
• Serve as a core member of ESnet’s Security Group performing various potential security duties, such as, supporting/improving existing security services, resolving alerts, investigating incidents, reviewing security logs, developing simple tools or detections, etc.
• Uncover potential computer and network vulnerabilities, reducing the risk incurred by vulnerabilities, automating workflow processes supporting ESnet’s security architecture.
• Integrate knowledge of network protocols, services, threats, vulnerabilities, mitigation strategies, hardware capabilities, and other information to build a security environment that reduces and mitigates risk while allowing ESnet’s open science mission to succeed.
• Represent the security team and work with other teams to understand potential risks and advise on more secure solutions.
• Participate in long term projects supporting important deliverables.
• Ability to participate in an ‘on call’ rotation.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full time, 2 years, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243128 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: SN-Scientific Networking
Berkeley Lab’s (LBNL, https://www.lbl.gov/) Energy Sciences Network (ESnet) Division is a scientific network that interconnects the DOE national laboratory system; is widely-regarded as a global innovator in network architectures, tools, and applications; and is currently the fastest scientific network in the world. This is a full time position on the ESnet security team, which is responsible for protecting ESnet assets, responding to computer security incidents, and advancing information security tools and architectures within the global R&E community in support of scientific inquiry.
We have an immediate opening for a Security Engineer (Computer Systems Engineer) to provide information security services and support to ESnet, primarily acting in a threat hunting and analyst role.
What You Will Do:
• Serve as a core member of ESnet’s Security Group performing various potential security duties, such as, supporting/improving existing security services, resolving alerts, investigating incidents, reviewing security logs, developing simple tools or detections, etc.
• Uncover potential computer and network vulnerabilities, reducing the risk incurred by vulnerabilities, automating workflow processes supporting ESnet’s security architecture.
• Integrate knowledge of network protocols, services, threats, vulnerabilities, mitigation strategies, hardware capabilities, and other information to build a security environment that reduces and mitigates risk while allowing ESnet’s open science mission to succeed.
• Represent the security team and work with other teams to understand potential risks and advise on more secure solutions.
• Participate in long term projects supporting important deliverables.
• Ability to participate in an ‘on call’ rotation.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs?
Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full time, 2 years, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=243128 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• Bachelor’s degree in computer science or related field with at least 4 years of experience in hands-on technical work in an operational setting; and/or an equivalent combination of experience and education.
• An understanding of security principles with a demonstrated ability to think from a risk perspective and with some depth in threat hunting and log analysis.
• Strong oral and written communication skills and a demonstrated history of working with other teams on common goals.
• Demonstrated ability to work with minimal prescriptive direction, able to determine what is needed to fulfill high level outcomes.
• Patience and persistence in service of improving the status quo towards our long term security vision.
• Able to work on multiple tasks and respond to rapidly changing priorities.
• Experience with Intrusion Detection Systems (IDS) and signature development.
• Hands on network/packet level examination using tools such as tcpdump or wireshark.
• Strong understanding of complex TCP/IP networks.
• Solid understanding of Linux operating systems.
• Background with a SIEM application or text manipulation tools such as awk and sed.
Desired Qualifications:
• Familiarity with R&E or with non-classified government work.
• Experience working within security trust groups sharing IOCs.
• Ability and demonstrated history of leading incident investigations or response.
• Experience working in a distributed environment and working remotely for those located outside Berkeley, CA or Champaign, IL.
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2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Marketing and Sales Executive
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Parallel Works
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Remote
Hide Details
SessionJob Postings
DescriptionParallel Works is looking to hire an experienced marketing and sales executive to help drive company branding, name recognition, and sales. In this role, you will be involved in product/market fit analysis, developing marketing strategies, implementing marketing plans, developing sales strategies, generating new customer leads, engaging customers, managing relationships, and closing sales of the Parallel Works platform and services.
The successful Parallel Works Marketing and Sales Executive, will have strong knowledge of modern marketing techniques, excellent communication skills, and a passion for the Parallel Works mission to accelerate research and innovation with computing.
The successful Parallel Works Marketing and Sales Executive, will have strong knowledge of modern marketing techniques, excellent communication skills, and a passion for the Parallel Works mission to accelerate research and innovation with computing.
Requirements• Bachelor’s degree in marketing, business, or related field.
• Proven work experience as a Marketing and Sales Executive.
• Knowledge of modern marketing techniques and the HPC technology landscape.
• High-level communication and networking skills.
• Experience using media and social media strategies.
• A passion for sales.
• Understanding of commercial trends and marketing strategies.
• Good project management skills.
• Excellent interpersonal skills.
Company DescriptionParallel Works is a Chicago-based startup whose SaaS platform makes high performance computing (HPC) workflows easy, fast and collaborative on hybrid cloud and in supercomputing environments. The platform acts as middleware between wide ranges of computing resources and allows organizations to leverage their resource, billing and user hierarchies in a uniform way. Our customers range from small and nimble startups, to government agencies, to global manufacturing companies.
The interview process includes a panel interview and an assessment designed to highlight your relevant skills.
Parallel Works is an Affirmative Action, Equal Opportunity Employer. As part of our standard hiring process for new employees, employment with Parallel Works will be contingent upon successful completion of a comprehensive technical evaluation and a background check.
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2022-11-09
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
IT Problem Management
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Idaho National Laboratory
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Remote
Hide Details
SessionJob Postings
DescriptionDoes a career focused on changing the world's energy future intrigue you? If so, we might have just the opportunity you're looking for!
Idaho National Laboratory’s (INL) Program Management group is seeking forward-thinking professionals interested in exploring a career as a IT Problem Management! This team works a remote 9x80 schedule with every other Friday off.
Identify and manage incidents that are caused the underlying IT problems for the INL Information Management (IM) enterprise
Identify, prioritize and assign responsibility for problems and manage them through the entire Problem Management process to resolution.
Create and manage the knowledge based articles to maintain information about known errors and workarounds for the IT Service Desk and self-service portals.
Analyze incident trends, identify repeat incidents and determine where the Problem Management process will result in the greatest benefit to the organization.
Understand the organizational skills to determine which domain experts should be engaged in problem root cause.
Coordinate all aspects of diagnosis and resolution.
Maintain the problem queue along with updates to inform the impacted partners.
Function as key member of any response to a major incident facilitating data collection and analysis leading to a long-term fix.
Assemble a big-picture perspective, gathering data from different sources, interpreting meaning, projecting possible outcomes, assessing impact, evaluating alternatives, managing a portfolio and recommending priorities for problem resolution.
Work closely with the Incident Management team and Change Management teams to analyze and find permanent fixes for problems.
Safety, Security and other requirements to maintain the program
Idaho National Laboratory’s (INL) Program Management group is seeking forward-thinking professionals interested in exploring a career as a IT Problem Management! This team works a remote 9x80 schedule with every other Friday off.
Identify and manage incidents that are caused the underlying IT problems for the INL Information Management (IM) enterprise
Identify, prioritize and assign responsibility for problems and manage them through the entire Problem Management process to resolution.
Create and manage the knowledge based articles to maintain information about known errors and workarounds for the IT Service Desk and self-service portals.
Analyze incident trends, identify repeat incidents and determine where the Problem Management process will result in the greatest benefit to the organization.
Understand the organizational skills to determine which domain experts should be engaged in problem root cause.
Coordinate all aspects of diagnosis and resolution.
Maintain the problem queue along with updates to inform the impacted partners.
Function as key member of any response to a major incident facilitating data collection and analysis leading to a long-term fix.
Assemble a big-picture perspective, gathering data from different sources, interpreting meaning, projecting possible outcomes, assessing impact, evaluating alternatives, managing a portfolio and recommending priorities for problem resolution.
Work closely with the Incident Management team and Change Management teams to analyze and find permanent fixes for problems.
Safety, Security and other requirements to maintain the program
Requirements• 5 years relevant experience, MS and 3 years relevant experience, PhD and 2 years relevant experience, or 13 years relevant experience.
Relevant experience includes, but is not limited to:
Root cause analysis experience
Creating knowledge base articles
Analyzing incident trends
Facilitating data collection and analysis
Applicants are subject to the requirements of DOE O 142.3B, Unclassified Foreign National Access Program.
Preferred Requirements:
Degrees completed in computer science, business, or IT related field.
Experience and Certification in ITIL 4
Problem Management Certification.
Company DescriptionINL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy’s mission in nuclear energy research, science, and national defense. With more than 5,000 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation’s nuclear and renewable energy, national security, and environmental missions.
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2022-11-09
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Microsoft 365 Cloud Administrator / Engineer
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Idaho National Laboratory
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Remote
Hide Details
SessionJob Postings
DescriptionDoes a career focused on changing the world's energy future intrigue you? If so, we might have just the opportunity you're looking for!
Idaho National Laboratory’s (INL) Enterprise Support group is seeking forward-thinking professionals interested in exploring a career as a Microsoft 365 Cloud Administrator / Engineer! This team works a remote 9x80 schedule with every other Friday off.
Responsibilities Include:
Use the Microsoft 365 platform, including desktop applications and online services across desktop and mobile (BYOD) devices.
Perform as a Microsoft 365 administrator (Administrator) for our production and non-production tenants.
Configure and manage of services including but not limited to Teams, Exchange, Power Platform, Azure Active Directory, Azure Information Protection, Azure Sentinel and other related products and services.
Have, expand, and maintain the skills necessary to support the services outlined above.
Gain and maintain a basic understanding of INL Information Technology infrastructure, cyber security, data classification, release control, and other related policies and procedures.
Gain and maintain an understanding of standards and expectations provided by Enterprise Architecture and system owners.
Contribute to development and maintenance of documentation, standards, training materials and other artifacts related to Microsoft 365.
Have an ongoing focus on personal professional development, to analyze the current environment, advocate for improvements, and work toward creative solutions to complex problems as they arise.
Perform as cloud administrator for Power Platform services implementation, serving as the support liaison for Data Analytics team and other report builders and users.
Recommend and implement configurations according to INL Architecture and Security standards.
Act as domain expert for implementing, managing, and monitoring INL’s Microsoft Azure environment.
Provide design input and analysts on project achievements; analyzes weaknesses and recommends system improvements.
Idaho National Laboratory’s (INL) Enterprise Support group is seeking forward-thinking professionals interested in exploring a career as a Microsoft 365 Cloud Administrator / Engineer! This team works a remote 9x80 schedule with every other Friday off.
Responsibilities Include:
Use the Microsoft 365 platform, including desktop applications and online services across desktop and mobile (BYOD) devices.
Perform as a Microsoft 365 administrator (Administrator) for our production and non-production tenants.
Configure and manage of services including but not limited to Teams, Exchange, Power Platform, Azure Active Directory, Azure Information Protection, Azure Sentinel and other related products and services.
Have, expand, and maintain the skills necessary to support the services outlined above.
Gain and maintain a basic understanding of INL Information Technology infrastructure, cyber security, data classification, release control, and other related policies and procedures.
Gain and maintain an understanding of standards and expectations provided by Enterprise Architecture and system owners.
Contribute to development and maintenance of documentation, standards, training materials and other artifacts related to Microsoft 365.
Have an ongoing focus on personal professional development, to analyze the current environment, advocate for improvements, and work toward creative solutions to complex problems as they arise.
Perform as cloud administrator for Power Platform services implementation, serving as the support liaison for Data Analytics team and other report builders and users.
Recommend and implement configurations according to INL Architecture and Security standards.
Act as domain expert for implementing, managing, and monitoring INL’s Microsoft Azure environment.
Provide design input and analysts on project achievements; analyzes weaknesses and recommends system improvements.
RequirementsBachelors plus 5 years experience or Advanced Degree & 3 years relevant experience or 13 years relevant education/experience in lieu of a bachelor's.
Applicants are subject to the requirements of DOE O 142.3B, Unclassified Foreign National Access Program National Access Program.
Accepted degrees include but are not limited to the following: Computer Science, Information Technology, Software engineering, Information Services.
Minimum five years hands-on experience administering O365 (on premise and cloud), along with a strong understanding of Microsoft cloud services including O365, Power Platform services, SharePoint, and Azure.
Strong experience supporting M365 applications and support consoles/tools.
Strong experience using PowerShell, SQL and other Microsoft administrative tools.
Experience with platform as a service (PAAS) administration
Ability to work effectively independently as well as within a team environment.
Excellent verbal and written communication skills.
Demonstrated strong work ethic and ability and willingness to take on new challenges.
Sound judgment and decision-making is a constant requirement to achieve results.
Must be able to prioritize activities and resolve complex technology problems, working alone or with others.
Must be self-motivated and able to take the lead for timely resolution of issues.
Preferred Requirements:
Knowledge and experience with Microsoft 365, Stream, Flow, Delve, and other emerging Microsoft 365 functionality.
Experience with other Microsoft cloud services, including Exchange Online, Teams, Azure AD, SharePoint, and Power Platform.
Experience with Microsoft development technologies, including .Net and .Net Core.
Experience with containerization technologies.
Company DescriptionINL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy’s mission in nuclear energy research, science, and national defense. With more than 5,000 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation’s nuclear and renewable energy, national security, and environmental missions.
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2022-11-09
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
SharePoint and Power Apps Developer
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Idaho National Laboratory
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Remote
Hide Details
SessionJob Postings
DescriptionDoes a career focused on changing the world's energy future intrigue you? If so, we might have just the opportunity you're looking for!
Idaho National Laboratory’s (INL) Enterprise Support group is seeking forward-thinking professionals interested in exploring a career as a SharePoint and Power Apps Developer! This team works a remote 9x80 schedule with every other Friday off.
Responsibilities Include:
Information Management (IM) Modern Workplace team provides among other services support for Citizen Creators (Creators) to develop successful digital solutions using no-code/low-code platforms from Microsoft including SharePoint (both on-premises and cloud), Power Apps and Power Automate.
This position performs as a developer, innovator, and technology advocate (Developer) using SharePoint, Power Apps, Power Automate and other related technologies. Developer is responsible for working with internal lab customers (Customer(s)) to meet their requirements to deliver solutions within the defined technology stack, to work with other IM partners to define and execute integrated solutions, to understand the capabilities of other IM partners and refer customers to other solution space when necessary.
Developer responsibilities include gaining and maintaining the skills necessary to do the job, including SharePoint, SharePoint Framework (SPFx), Microsoft Power Apps and Power Automate, JavaScript, TypeScript, CSS, HTML, and other related technologies. Developer is responsible to gain and maintain a basic understanding of INL Information Technology infrastructure, cyber security, data classification, release control, and other related policies and procedures. Developer is responsible to gain and maintain an understanding of standards and expectations provided by Enterprise Architecture and system owners. Developer is responsible to contribute to development and maintenance of documentation, standards, training materials and other artifacts within the technology stacks they participate in.
Responsibilities Include:
Provide guidance and share standard methodologies regarding SPFx development.
Create new SPFx web part components for SharePoint that will be part of a central library for Creators to use within their SharePoint sites.
Develop Power Apps canvas and model driven applications.
Develop Power Apps list-based applications.
Develop Power Automate flows triggered by events in SharePoint Online or from Power Apps.
In all work, consider mobile consumption as a first-class concern, using standard methodologies within SharePoint, Power Platform, and related communities.
Use multiple OOTB Connectors within the Power Platform.
Address and remediate security vulnerability findings within supported solutions
Work with Creators when there are functional issues and debugging their apps/flows/reports.
Assists in the training of Creators, focusing on being successful on the no-code/low-code platforms within the Lab, including the creation of online training videos as well as in person training sessions.
Support production releases of solutions during off-peak hours.
SharePoint SPFx and site customization development for standard web parts and customer specific requests.
Develop canvas and model driven Power Apps using list-based applications and power automate floes.
Create and provide online and in person citizen creator training.
Idaho National Laboratory’s (INL) Enterprise Support group is seeking forward-thinking professionals interested in exploring a career as a SharePoint and Power Apps Developer! This team works a remote 9x80 schedule with every other Friday off.
Responsibilities Include:
Information Management (IM) Modern Workplace team provides among other services support for Citizen Creators (Creators) to develop successful digital solutions using no-code/low-code platforms from Microsoft including SharePoint (both on-premises and cloud), Power Apps and Power Automate.
This position performs as a developer, innovator, and technology advocate (Developer) using SharePoint, Power Apps, Power Automate and other related technologies. Developer is responsible for working with internal lab customers (Customer(s)) to meet their requirements to deliver solutions within the defined technology stack, to work with other IM partners to define and execute integrated solutions, to understand the capabilities of other IM partners and refer customers to other solution space when necessary.
Developer responsibilities include gaining and maintaining the skills necessary to do the job, including SharePoint, SharePoint Framework (SPFx), Microsoft Power Apps and Power Automate, JavaScript, TypeScript, CSS, HTML, and other related technologies. Developer is responsible to gain and maintain a basic understanding of INL Information Technology infrastructure, cyber security, data classification, release control, and other related policies and procedures. Developer is responsible to gain and maintain an understanding of standards and expectations provided by Enterprise Architecture and system owners. Developer is responsible to contribute to development and maintenance of documentation, standards, training materials and other artifacts within the technology stacks they participate in.
Responsibilities Include:
Provide guidance and share standard methodologies regarding SPFx development.
Create new SPFx web part components for SharePoint that will be part of a central library for Creators to use within their SharePoint sites.
Develop Power Apps canvas and model driven applications.
Develop Power Apps list-based applications.
Develop Power Automate flows triggered by events in SharePoint Online or from Power Apps.
In all work, consider mobile consumption as a first-class concern, using standard methodologies within SharePoint, Power Platform, and related communities.
Use multiple OOTB Connectors within the Power Platform.
Address and remediate security vulnerability findings within supported solutions
Work with Creators when there are functional issues and debugging their apps/flows/reports.
Assists in the training of Creators, focusing on being successful on the no-code/low-code platforms within the Lab, including the creation of online training videos as well as in person training sessions.
Support production releases of solutions during off-peak hours.
SharePoint SPFx and site customization development for standard web parts and customer specific requests.
Develop canvas and model driven Power Apps using list-based applications and power automate floes.
Create and provide online and in person citizen creator training.
RequirementsBaccalaureate & 2 years experience or 10 years equivalent work experience.
Applicants are subject to the requirements of DOE O 142.3B, Unclassified Foreign National Access Program.
Experience with on-premise SharePoint including at least one of the following: (Subscription Edition, 2019, 2016), SharePoint Online, and related M365 workloads and must have experience with the Microsoft Power Platform to automate business processes and design custom solutions for clients.
Experience working with the SharePoint Framework (SPFx) and related technologies – Node.js, TypeScript, ReactJS, Yeoman, webpack, and Gulp;
SharePoint development experience including designer and custom workflows, custom web parts, search, navigation, and branding & customization.
Experience using IDE's such as Visual Studio and Visual Studio Code;
Familiar with SharePoint Client-Side Object Model;
Understanding of best-practice implementation, administration, and working within a well-governed collaboration environment
Skilled in HTML, CSS, jQuery, JavaScript, etc
• Ability to work effectively independently as well as within a team environment.
• Superb Communication skills.
• Demonstrated a good work ethic and ability and willingness to take on new challenges.
Company DescriptionINL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy’s mission in nuclear energy research, science, and national defense. With more than 5,000 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation’s nuclear and renewable energy, national security, and environmental missions.
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·
2022-11-09
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
SharePoint Administrator
·
Idaho National Laboratory
·
Remote
Hide Details
SessionJob Postings
DescriptionDoes a career focused on changing the world's energy future intrigue you? If so, we might have just the opportunity you're looking for!
Idaho National Laboratory’s (INL) Program Management group is seeking forward-thinking professionals interested in exploring a career as a SharePoint Administrator! This team works a remote 9x80 schedule with every other Friday off.
Responsibilities Include:
Manage SharePoint sites that supports IM communications needs.
Manage, monitor and enhance the SharePoint sites to support the IM Website and support project websites.
Develop, configure, and maintain document libraries, enterprise lists and site collections.
Perform typical system administrative activities such as site creation, backup, restore and issue resolution for IM websites.
Ensure design reviews of functionality and content will be complete before deployment to production of SharePoint environments.
Support the installation, configuration, security, operation, and maintenance of im.inl.gov and IM project websites.
Software development include process automation and improvements, human performance, data collection, reporting, analysis, and information management.
Leverage tools for SharePoint sites.
Collaborate with project managers to create valuable information that can be accessed by project partners. Socialize site creation using IT Enterprise Change Management and Comms Team.
Conduct reviews of directorate and department specific SharePoint sites to keep current and relevant.
Actively participate in an enterprise-wide digital signage solution to provide current and relevant information sharing across the INL.
Work with IM Comms team to help produce and manage an IM Newsletter.
Ensure the newsletter has design and feel to effective deliver IM messaging.
Support IM project websites with content updates and improved design.
Communicating with IM PMs and managers to collect input for SharePoint content.
Idaho National Laboratory’s (INL) Program Management group is seeking forward-thinking professionals interested in exploring a career as a SharePoint Administrator! This team works a remote 9x80 schedule with every other Friday off.
Responsibilities Include:
Manage SharePoint sites that supports IM communications needs.
Manage, monitor and enhance the SharePoint sites to support the IM Website and support project websites.
Develop, configure, and maintain document libraries, enterprise lists and site collections.
Perform typical system administrative activities such as site creation, backup, restore and issue resolution for IM websites.
Ensure design reviews of functionality and content will be complete before deployment to production of SharePoint environments.
Support the installation, configuration, security, operation, and maintenance of im.inl.gov and IM project websites.
Software development include process automation and improvements, human performance, data collection, reporting, analysis, and information management.
Leverage tools for SharePoint sites.
Collaborate with project managers to create valuable information that can be accessed by project partners. Socialize site creation using IT Enterprise Change Management and Comms Team.
Conduct reviews of directorate and department specific SharePoint sites to keep current and relevant.
Actively participate in an enterprise-wide digital signage solution to provide current and relevant information sharing across the INL.
Work with IM Comms team to help produce and manage an IM Newsletter.
Ensure the newsletter has design and feel to effective deliver IM messaging.
Support IM project websites with content updates and improved design.
Communicating with IM PMs and managers to collect input for SharePoint content.
RequirementsMinimum Requirements:
Bachelor of Science and 2 years relevant experience, MS and 1 year relevant experience, PhD and 0 years relevant experience, or 10 years relevant experience in lieu of degree.
Skilled in developing, configuring, and maintaining document libraries, enterprise lists, and site collections.
Applicants are subject to the requirements of DOE O 142.3B, Unclassified Foreign National Access Program.
Preferred Requirements:
Experience with PowerShell, HTML, CSS, C#, jQuery, JavaScript
Company DescriptionINL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy’s mission in nuclear energy research, science, and national defense. With more than 5,000 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation’s nuclear and renewable energy, national security, and environmental missions.
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2022-11-09
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Engineer (Cloud Infrastructure)
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Agnostiq
·
Remote / Canada / USA
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SessionJob Postings
DescriptionAs a Software Engineer, you will have the opportunity to contribute to the implementation of a wide variety of cutting-edge cloud computing projects. You will be working closely with accomplished software engineers, building tools which connect classical and quantum applications to a variety of classical and quantum cloud compute resources. The ideal candidate will have strong prior experience with AWS. Candidates must be willing to learn on the job.
Key responsibilities:
- Design, build, scale, and maintain Agnostiq’s cloud infrastructure and operations including container-based clusters, compute clusters, and CI pipelines.
- Create and execute software development plans in a rapidly-developing startup environment
- Provide technical expertise on multiple hybrid- and multi-cloud projects
- Drive development while providing domain-specific expertise, contribute to the development of new ideas and methods
- Serve as a technical resource for all of Agnostiq’s IaaS and PaaS cloud products
Key responsibilities:
- Design, build, scale, and maintain Agnostiq’s cloud infrastructure and operations including container-based clusters, compute clusters, and CI pipelines.
- Create and execute software development plans in a rapidly-developing startup environment
- Provide technical expertise on multiple hybrid- and multi-cloud projects
- Drive development while providing domain-specific expertise, contribute to the development of new ideas and methods
- Serve as a technical resource for all of Agnostiq’s IaaS and PaaS cloud products
Requirements- At least four years experience as a professional software/cloud engineer
- Skilled in Python, Bash, and Linux systems administration
- Skilled in AWS technology, including ECS/EKS, load-balancing and autoscaling, and RBAC/IAM
- General experience with web technologies, databases, and REST API development
- General experience with infrastructure-as-code (Terraform, AWS CloudFormation, AWS CDK)
- General experience with DevOps and CI/CD practices
- Eager to join a startup
Company DescriptionAgnostiq is developing Covalent, an open-source workflow orchestration platform designed to help users manage and execute tasks on heterogeneous computing resources. You can learn more about the project at: https://github.com/AgnostiqHQ/covalent
Agnostiq is a fully distributed team with roots in Toronto and team members spanning Canada and the United States.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Data Science Workflows Architect
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Lawrence Berkeley National Laboratory
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Remote
Hide Details
SessionJob Postings
DescriptionData Science Workflows Architect - 97408
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division (https://www.nersc.gov/) has an opening for a Data Science Workflows Architect to join the team.
In this exciting role, you will help scientists take advantage of the most powerful computers in the US. Scientists are facing new challenges in their computing workflows. Increasingly, large-scale data analysis needs to be combined with simulations and machine learning, sometimes in real-time. Working at the National Energy Research Scientific Computing Center (NERSC) in the Data Science Engagement group, you will use cutting-edge technology to advance the scientific mission of the Department of Energy.
In this role, you will be responsible for supporting our user community to adapt and optimize their workflows for High Performance Computing (HPC) systems, including data transfer, code optimization, AI and automation You will be part of multidisciplinary and cross-institution scientific projects, working with scientists and instruments from around the world.
What You Will Do:
• Work with domain scientists to use HPC resources at NERSC.
• Configure the user environment on NERSC supercomputers to maximize scientific productivity for the user community. This includes installing, maintaining and documenting a productive and performant set of tools (e.g., Jupyter, Podman, Julia or Python), defining job scheduling parameters to meet user needs, and monitoring system performance from an application perspective.
• Educate users by creating content for the NERSC website with online tutorials and documentation, giving presentations, and attending conferences. Communicate with users about new opportunities and capabilities in software and systems and advise them in effectively transitioning to new technologies.
• Communicate clearly to both domain scientists and computer systems engineers, explaining the subtleties of using an HPC system and translating scientific requirements into computing needs.
Division: NE-NERSC
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) NERSC Division (https://www.nersc.gov/) has an opening for a Data Science Workflows Architect to join the team.
In this exciting role, you will help scientists take advantage of the most powerful computers in the US. Scientists are facing new challenges in their computing workflows. Increasingly, large-scale data analysis needs to be combined with simulations and machine learning, sometimes in real-time. Working at the National Energy Research Scientific Computing Center (NERSC) in the Data Science Engagement group, you will use cutting-edge technology to advance the scientific mission of the Department of Energy.
In this role, you will be responsible for supporting our user community to adapt and optimize their workflows for High Performance Computing (HPC) systems, including data transfer, code optimization, AI and automation You will be part of multidisciplinary and cross-institution scientific projects, working with scientists and instruments from around the world.
What You Will Do:
• Work with domain scientists to use HPC resources at NERSC.
• Configure the user environment on NERSC supercomputers to maximize scientific productivity for the user community. This includes installing, maintaining and documenting a productive and performant set of tools (e.g., Jupyter, Podman, Julia or Python), defining job scheduling parameters to meet user needs, and monitoring system performance from an application perspective.
• Educate users by creating content for the NERSC website with online tutorials and documentation, giving presentations, and attending conferences. Communicate with users about new opportunities and capabilities in software and systems and advise them in effectively transitioning to new technologies.
• Communicate clearly to both domain scientists and computer systems engineers, explaining the subtleties of using an HPC system and translating scientific requirements into computing needs.
RequirementsWhat is Required:
• Typically requires a minimum of 5 years related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or equivalent work experience.
• Programming background in languages including (any one of) C/C++, Python, Java, and shell scripting.
• Prior experience managing computational needs and resources, either as a user or as an administrator.
• Excellent communication and interpersonal skills, able to express yourself clearly in both written (e.g. conference papers, technical papers, documentation, email) and oral (e.g. via zoom and in person) communication.
• Demonstrated ability to work effectively as part of a cross-disciplinary team.
• Ability to troubleshoot and solve problems via data-driven analysis.
Desired Qualifications:
• Typically requires a minimum of 8 years related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or equivalent work experience.
• Experience working with experiments that have real-time and/or large-scale computing requirements.
• Experience with HPC systems, including use of a batch scheduling system.
• Software development experience, including version control and debugging.
• Experience with cloud technologies, software, interfaces/APIs and containers.
• Experience with (and enthusiasm for) modern computing architectures, such as GPUs, or FPGAs.
• Understanding of Big Data-type problems, including system I/O, data transfer, and storage needs.
Notes:
• This is a full-time 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework or remote modes. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=244875 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
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2022-11-11
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Engineer
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Indiana University
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Blomington, IN
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SessionJob Postings
DescriptionGlobalNOC’s Software and Systems engineering group provides a full suite of tools and services related to network measurement, monitoring, visualization, provisioning, and IT service management for some of the most advanced research and education networks in the world. Established in 1998, The GlobalNOC at Indiana University provides services to over 20 networks across the country that operate at local, metro, national, and international scale.
We are looking for motivated people to join our team and make a difference. Why work here?
-Work in the always evolving and growing field of advanced high speed computer networking, frequently taking on new challenges and opportunities.
-GlobalNOC is committed to a culture of positive work / life balance and progress over perfection. Work with a group of people passionate about their field, but who aren’t defined solely by it.
-Make a difference. Our teams collaboratively provide full stack design, development, and management of applications that directly support thousands of servers and network devices at the campus, regional, country, and world scale.
Bring your skills and learn new ones. With our full stack development there is always a place to jump in and learn something new. Whether it’s new development of applications, automating changes on the network, building out visualizations to help end users understand their data, and countless other opportunities.
Job Summary
Provides experienced design, development, testing, and configuration of software systems and computer programs.
Performs experienced analysis, programming, troubleshooting, bug-fixing, and tuning of new and existing software.
Consults with stakeholders/clients to review existing software solutions; develops new functionality and/or writes new code as needed; advises clients on critical decisions regarding information technology to improve overall business process efficiency.
Determines program module test procedures, generates required test data, and executes testing procedures.
Collaborates with other technical staff and stakeholders/clients to ensure optimum functionality, performance, accessibility, scalability, and security of supported software.
Documents software development efforts (changes, new functionality, issue/problem resolution).
Provides documentation, information, and training through formal and informal communications to end users, departments, and internal staff.
Contributes to project planning, formulating objectives, estimating tasks; performs studies to include feasibility, conceptual design, cost/benefit analysis, development and implementation planning
Ensures that all protocols used in the development and maintenance of software is up to date and compliant with university policies and standards; researches and stays up-to-date on new industry software development standards, emerging technology, UX/UI design/philosophy, and accessibility standards.
We are looking for motivated people to join our team and make a difference. Why work here?
-Work in the always evolving and growing field of advanced high speed computer networking, frequently taking on new challenges and opportunities.
-GlobalNOC is committed to a culture of positive work / life balance and progress over perfection. Work with a group of people passionate about their field, but who aren’t defined solely by it.
-Make a difference. Our teams collaboratively provide full stack design, development, and management of applications that directly support thousands of servers and network devices at the campus, regional, country, and world scale.
Bring your skills and learn new ones. With our full stack development there is always a place to jump in and learn something new. Whether it’s new development of applications, automating changes on the network, building out visualizations to help end users understand their data, and countless other opportunities.
Job Summary
Provides experienced design, development, testing, and configuration of software systems and computer programs.
Performs experienced analysis, programming, troubleshooting, bug-fixing, and tuning of new and existing software.
Consults with stakeholders/clients to review existing software solutions; develops new functionality and/or writes new code as needed; advises clients on critical decisions regarding information technology to improve overall business process efficiency.
Determines program module test procedures, generates required test data, and executes testing procedures.
Collaborates with other technical staff and stakeholders/clients to ensure optimum functionality, performance, accessibility, scalability, and security of supported software.
Documents software development efforts (changes, new functionality, issue/problem resolution).
Provides documentation, information, and training through formal and informal communications to end users, departments, and internal staff.
Contributes to project planning, formulating objectives, estimating tasks; performs studies to include feasibility, conceptual design, cost/benefit analysis, development and implementation planning
Ensures that all protocols used in the development and maintenance of software is up to date and compliant with university policies and standards; researches and stays up-to-date on new industry software development standards, emerging technology, UX/UI design/philosophy, and accessibility standards.
RequirementsEDUCATION
-Bachelor's degree preferably in computer science, business systems, or related field
WORK EXPERIENCE
-2 years software development or related experience
Combinations of related education and experience may be considered
SKILLS
-Proficient communication skills
-Maintains a high degree of professionalism
-Demonstrates time management and priority setting skills
-Demonstrates a high commitment to quality
-Possesses flexibility to work in a fast paced, dynamic environment
-Seeks to acquire knowledge in area of specialty
-Highly thorough and dependable
-Demonstrates a high level of accuracy, even under pressure
Company DescriptionAt University Information Technology Services (UITS) we provide the technology, tools, and services you need to succeed. UITS supports IU's vision for excellence in research, teaching, outreach, and lifelong learning. We¿ensure a workplace that encourages growth, flexibility, and creativity, as well as a culture that champions inclusion, diversity, and overall employee well-being through programs supported university wide. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours.
Indiana University offers a wide array of benefits including:
-Multiple plan options for medical insurance
-Dental insurance
-Health Savings Account with generous IU contribution
-Life insurance
-Base retirement plan contribution from IU
-Additional supplemental retirement plan options
-Tuition benefit for IU classes
-10 paid holidays per year
-Generous Paid Time Off
-Paid Parental Leave
Learn more about our benefits by reviewing our online Benefits Brochure.
https://hr.iu.edu/pubs/books/IU-benefits_broch.pdf
Equal Employment Opportunity
Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Indiana University does not discriminate on the basis of sex in its educational programs and activities, including employment and admission, as required by Title IX. Questions or complaints regarding Title IX may be referred to the U.S. Department of Education Office for Civil Rights or the university Title IX Coordinator. See Indiana University’s Notice of Non-Discrimination here which includes contact information.
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2022-11-11
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Web and System Administrator
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Idaho National Laboratory
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Idaho
Hide Details
SessionJob Postings
DescriptionDoes a career focused on changing the world's energy future intrigue you? If so, we might have just the opportunity you're looking for!
Idaho National Laboratory’s (INL) High Performance Computing group is seeking forward-thinking professionals interested in exploring a career as a Web and System Administrator.
Responsibilities Include:
This position is a High Performance Computing Web and System Administrator in the High Performance Computing organization.
Key duties include:
HPC leadership at INL including understanding mission requirements and providing solutions for users
Lead development and improvement of the hpcwebsite and metrics collection systems
Demonstrate leadership through good communication skills, creativity and positivity
Specific duties include:
Web design employing Django, CSS, HTML5, jQuery, Apache, and JavaScript
Open OnDemand configuration, setup, and application development
Ansible deployment, management, and system configuration
GPU configuration on AI/ML systems
Slurm scheduler management
Warewulf configuration and HPC compute image management
Building and maintaining singularity/apptainer containers
Metrics collection including Prometheus, Performance Co-Pilot, and Grafana
Report generation
AI integration into existing HPC processes and reporting requirements
Idaho National Laboratory’s (INL) High Performance Computing group is seeking forward-thinking professionals interested in exploring a career as a Web and System Administrator.
Responsibilities Include:
This position is a High Performance Computing Web and System Administrator in the High Performance Computing organization.
Key duties include:
HPC leadership at INL including understanding mission requirements and providing solutions for users
Lead development and improvement of the hpcwebsite and metrics collection systems
Demonstrate leadership through good communication skills, creativity and positivity
Specific duties include:
Web design employing Django, CSS, HTML5, jQuery, Apache, and JavaScript
Open OnDemand configuration, setup, and application development
Ansible deployment, management, and system configuration
GPU configuration on AI/ML systems
Slurm scheduler management
Warewulf configuration and HPC compute image management
Building and maintaining singularity/apptainer containers
Metrics collection including Prometheus, Performance Co-Pilot, and Grafana
Report generation
AI integration into existing HPC processes and reporting requirements
RequirementsBachelor and 0-2 years relevant experience or Masters and 0-1 year relevant experience or Doctorate or equivalent combination of education and experience will be considered
Company DescriptionINL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy’s mission in nuclear energy research, science, and national defense. With more than 5,000 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation’s nuclear and renewable energy, national security, and environmental missions.
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2022-11-11
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Postdoctoral Fellow in High Performance Computing and Graph Analytics at Indiana University
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Indiana University
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Bloomington, IN
Hide Details
SessionJob Postings
DescriptionThe high-performance graph analytics research group (https://hipgraph.luddy.indiana.edu/) at Luddy School of Informatics, Computing, and Engineering at Indiana University has two open postdoctoral positions on high-performance graph analysis, sparse matrix and graph machine learning algorithms.
The postdocs will work with Prof. Ariful Azad on various areas of high-performance computing (shared-memory and distributed-memory systems), new graph machine learning methods, sparse matrix algorithms and libraries, and applications of graph analysis in computational biology, earth sciences, and energy sciences. See our lab website for existing projects and published papers: https://hipgraph.luddy.indiana.edu/. Our research group consists of seven PhD students, seven MS students, and several undergraduate students.
One of the postdocs will be part of Sparsitute: A Mathematical Institute for Sparse Computations in Science and Engineering. Sparsitute is supported for 5 years by the Department of Energy as a Mathematical Multifaceted Integrated Capability Center (MMICC). Sparsitute is a collaboration between LBNL, ORNL, Purdue University, University of Illinois at Urbana-Champaign, Indiana University, and Wake Forest University. The other postdoc will be part of an IARPA AGILE project led by Indiana University. In the latter project, we will develop the next-generation active-memory architecture and associated software infrastructure for analyzing massive graphs.
The postdocs will work with Prof. Ariful Azad on various areas of high-performance computing (shared-memory and distributed-memory systems), new graph machine learning methods, sparse matrix algorithms and libraries, and applications of graph analysis in computational biology, earth sciences, and energy sciences. See our lab website for existing projects and published papers: https://hipgraph.luddy.indiana.edu/. Our research group consists of seven PhD students, seven MS students, and several undergraduate students.
One of the postdocs will be part of Sparsitute: A Mathematical Institute for Sparse Computations in Science and Engineering. Sparsitute is supported for 5 years by the Department of Energy as a Mathematical Multifaceted Integrated Capability Center (MMICC). Sparsitute is a collaboration between LBNL, ORNL, Purdue University, University of Illinois at Urbana-Champaign, Indiana University, and Wake Forest University. The other postdoc will be part of an IARPA AGILE project led by Indiana University. In the latter project, we will develop the next-generation active-memory architecture and associated software infrastructure for analyzing massive graphs.
RequirementsSuggested Requirements:
- A Ph.D. in computer science, computer engineering, data science, and related fields
- Expertise in C, C++, and/or Python languages
- Strong knowledge in parallel programming (shared and/or distributed memory systems)
- A good knowledge in computer architectures
- A solid background in linear algebra and algorithms is recommended.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HTC Hardware Specialist
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Jefferson Lab
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Newport News, VA
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SessionJob Postings
DescriptionWhat your job will be like:
As an HTC (High Throughput Computing) Hardware Specialist you will be required to work closely with vendors and manufacturers of HTC hardware, lab operations and networking teams to lead the definition and convergence of complex and novel systems and product architectures, aimed at pushing beyond the state-of-art HTC systems. The specialist will be an innovator, who can work well in teams, can brainstorm big ideas, work in new technology areas, thrive in ambiguity, able to map trade spaces, able to drive a concept into a prototype, and can envision how a prototype could transition into cutting-edge science.
In this role you will:
- In coordination with laboratory staff and stakeholders, research and design leading HTC systems that balance performance, efficiency, and cost-effectiveness.
- Utilize trend and monitoring data from diverse sources to tune compute systems.
- Produce written documentation for diverse audiences, including system administrators, lab management, peers, and professional organizations.
As an HTC (High Throughput Computing) Hardware Specialist you will be required to work closely with vendors and manufacturers of HTC hardware, lab operations and networking teams to lead the definition and convergence of complex and novel systems and product architectures, aimed at pushing beyond the state-of-art HTC systems. The specialist will be an innovator, who can work well in teams, can brainstorm big ideas, work in new technology areas, thrive in ambiguity, able to map trade spaces, able to drive a concept into a prototype, and can envision how a prototype could transition into cutting-edge science.
In this role you will:
- In coordination with laboratory staff and stakeholders, research and design leading HTC systems that balance performance, efficiency, and cost-effectiveness.
- Utilize trend and monitoring data from diverse sources to tune compute systems.
- Produce written documentation for diverse audiences, including system administrators, lab management, peers, and professional organizations.
RequirementsQualifications We Require:
Education:
- BS in computer science, information systems or other relevant information technology field.
Experience:
- 6+ years of experience in developing, deploying, and testing high throughput computing hardware solutions.
Knowledge, Skills, and Abilities:
-Experience with multiple hardware architectures (such as x86, ARM).
-Experience with Linux/Unix variants, especially RedHat/RHEL and its derivatives.
-Experience with virtualization and container architecture.
-Experience working closely with various hardware manufacturers and vendors to identify innovative high throughput computing hardware solutions.
-Experience with benchmarking hardware to identify and drive the integration of relevant hardware technologies into large-scale data solutions with end-user input when needed.
-Experience with monitoring, profiling, or optimization of software tools for developers working on large-scale systems.
-Diagnose and resolve system-level issues, analyze and tune performance at scale to deliver a stable and fully tested solution.
-Communicates and collaborates with stakeholders and software developers for the resolution of technical challenges and clarification of scientific requirements.
-Ability to clearly communicate and report on progress of tasks and projects.
-Excellent interpersonal skills, ability to effectively work on project teams.
Qualifications We Desire:
Education:
- Master’s degree in computer science, information systems or other relevant information technology field.
Experience:
- 6+ years of experience in developing, deploying, and testing high throughput computing hardware solutions.
Knowledge, Skills, and Abilities:
-Experience supporting high throughput clusters with SLURM (or a variant) Workload Manager.
-Experience supporting scientific applications and ability to compile, package, install, and upgrade software as well as troubleshooting application issues.
-Experience with large scale data center operations, particularly thermal and power constraints.
-Experience working and collaborating in an academic or research environment.
-Deep understanding of TCP/IP and the Linux networking stack.
Company DescriptionAbout Jefferson Lab:
Join a community with a common purpose of solving the most challenging scientific and engineering problems of our time. ¿The Jefferson Lab campus is located in southeastern Virginia amidst a vibrant and growing technology community.
A career at Jefferson Lab is more than a job. You will be part of “big science” and work alongside top scientists and engineers from around the world unlocking the secrets of our visible universe. Managed by Jefferson Science Associates, LLC; Thomas Jefferson National Accelerator Facility is entering an exciting period of mission growth and is seeking new team members ready to apply their skills and passion to have an impact. You could call it work, or you could call it a mission. We call it a challenge. We do things that will change the world.
Total Rewards at Jefferson Lab
At Jefferson Lab, we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:
Medical, Dental, and Vision Care Plans
Flexible Spending Accounts
Paid Time-off and Leave Programs (vacation, holidays, sick leave)
401(k) Plan – 9% Lab Contribution; 100% vested
Flexible Work Arrangements (Hybrid & Alternate Work Schedules available)
Tuition Assistance, Training and Professional Development Programs
Live near the waterways of the Chesapeake Bay region with access to nearby beaches, mountains, and all major metropolitan centers on the East Coast
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2022-09-27
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Data Management Postdoctoral Researcher
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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SessionJob Postings
DescriptionHPC Data Management Postdoctoral Researcher - 97313
Division: DD-Data Science
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Scientific Data Management Research Group has an immediate opening for an HPC Data Management Postdoctoral Researcher to develop and optimize parallel I/O libraries and next-generation object-based storage technologies for the upcoming exascale era and beyond.
The LBNL Scientific Data Management Research Group (SDM) performs research in scientific data management and analysis for exascale computing and multi-petabyte experimental and simulation datasets. The overarching goal of the group is to enable scientific discoveries through the design, analysis, and development of extreme-scale data management technologies that allow scientists to access their data more efficiently. Members of SDM group work closely with application scientists throughout the DOE Office of Science community (e.g., astronomy, astrophysics, climate change research, fusion research, high energy physics, nuclear science, and life sciences), with faculty and students from universities throughout the world, and with staff in the NERSC production computing facility as well as other DOE Leadership Computing Facilities. Group members have access to leading-edge computing platforms.
SDM group members have a strong history of publications in top journals and conferences and have developed software systems that are broadly used outside the group. Specific areas of research being done by SDM group include: FastBit indexing technology, Storage Resource Management (SRM), Proactive Data Containers (PDC) object storage technologies, scientific data formats such as HDF5 and ADIOS, data access libraries, climate data management, high throughput network data transfers, data analysis and mining.
What You Will Do:
• Contribute to a research team focused on developing storage systems and parallel I/O technologies that affect performance of storing and accessing by scientific applications.
• Conduct research involving parallel I/O systems and performance optimization of HPC applications’ I/O.
• Develop object storage technologies for HPC.
• Analyze and optimize I/O performance on supercomputing systems.
• Develop I/O benchmarks representative of applications at supercomputing facilities.
• Document work and results in the form of journal papers and conference proceeding papers, and present work and results at scientific meetings.
• Collaborate with other computer scientists, applied mathematicians, computational scientists to ensure the resultant technologies are applicable for their respective computational challenges and coding styles.
• Work effectively with Principal Investigators, peers, and managers at LBNL, external collaborators, sponsors, and stakeholders by conducting telecons, attending workshops, writing workshop reports and conference papers, and corresponding to program managers as needed.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time 1-year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework, or Remote near Ohio State University. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=244010 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: DD-Data Science
Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Scientific Data Management Research Group has an immediate opening for an HPC Data Management Postdoctoral Researcher to develop and optimize parallel I/O libraries and next-generation object-based storage technologies for the upcoming exascale era and beyond.
The LBNL Scientific Data Management Research Group (SDM) performs research in scientific data management and analysis for exascale computing and multi-petabyte experimental and simulation datasets. The overarching goal of the group is to enable scientific discoveries through the design, analysis, and development of extreme-scale data management technologies that allow scientists to access their data more efficiently. Members of SDM group work closely with application scientists throughout the DOE Office of Science community (e.g., astronomy, astrophysics, climate change research, fusion research, high energy physics, nuclear science, and life sciences), with faculty and students from universities throughout the world, and with staff in the NERSC production computing facility as well as other DOE Leadership Computing Facilities. Group members have access to leading-edge computing platforms.
SDM group members have a strong history of publications in top journals and conferences and have developed software systems that are broadly used outside the group. Specific areas of research being done by SDM group include: FastBit indexing technology, Storage Resource Management (SRM), Proactive Data Containers (PDC) object storage technologies, scientific data formats such as HDF5 and ADIOS, data access libraries, climate data management, high throughput network data transfers, data analysis and mining.
What You Will Do:
• Contribute to a research team focused on developing storage systems and parallel I/O technologies that affect performance of storing and accessing by scientific applications.
• Conduct research involving parallel I/O systems and performance optimization of HPC applications’ I/O.
• Develop object storage technologies for HPC.
• Analyze and optimize I/O performance on supercomputing systems.
• Develop I/O benchmarks representative of applications at supercomputing facilities.
• Document work and results in the form of journal papers and conference proceeding papers, and present work and results at scientific meetings.
• Collaborate with other computer scientists, applied mathematicians, computational scientists to ensure the resultant technologies are applicable for their respective computational challenges and coding styles.
• Work effectively with Principal Investigators, peers, and managers at LBNL, external collaborators, sponsors, and stakeholders by conducting telecons, attending workshops, writing workshop reports and conference papers, and corresponding to program managers as needed.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full-time 1-year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 4 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site, hybrid, full-time telework, or Remote near Ohio State University. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=244010 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• PhD degree in applied mathematics, computer science, physics, or related fields or equivalent combination of education and experience.
• Demonstrated expertise in the implementation and optimizations I/O and storage systems.
• Demonstrated experience in working with high-performance computing applications using C/C++, MPI, and I/O libraries, such as HDF5 and MPI-IO.
• Experience in performance modeling and applying AI analysis to understand performance analysis.
• Demonstrated experience in using distributed-memory computing platforms and AI systems.
• Knowledge of C/C++, MPI, HDF5, netCDF, and MPI-IO
• Knowledge of ML and AI software libraries.
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·
2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Computational Scientist
·
University of Virginia
·
hybrid (remote/Charlottesville, VA)
Hide Details
SessionJob Postings
DescriptionThe University of Virginia Research Computing group is seeking two Research Computing Associates/Computational Scientists to join their team. These are entry-level positions. The incumbents support University faculty and researchers, assisting them with UVA Research Computing services to produce computing solutions within their fields of research.
One position is looking to be filled immediately the second position would have a tentative start date January 2023.
The ideal candidate has an outgoing personality with a passion for providing high-quality services, enjoys supporting and educating academic researchers, has some experience with academic computing, and is able to apply those skills to UVA’s research computing environment. We seek an energetic self-starter and quick learner who enjoys technical problem solving and working on multiple projects simultaneously, has strong communication skills, and is a team player. The ideal candidate will have research experience in image analysis, bioinformatics, life science or data science.
We offer a friendly, diverse, and inclusive work environment in a small group (less than 25 staff), and a supportive workplace. Funding is available for a limited amount of travel for professional development.
Both positions are hybrid roles requiring occasional travel to UVA campus (Grounds) for office work, educational outreach and to meet with researchers.
Responsibilities:
• Provide technical support for use of RC’s computing and storage services.
• Create internal and user-facing technical documentation.
• Assist senior staff with expanding educational and consulting offerings in their field of expertise, such as bioinformatics, image analysis, or data science and database usage.
• Support senior staff with organizing outreach events to strengthen the research computing community at UVA. For one of the positions, this includes expansion of RC’s partnership with peer institutions under the NSF funded ACCORD (Assuring Controls Compliance of Research Data) program.
• Assist with onboarding and educating researchers to use RC’s computing resources for processing sensitive and highly sensitive data.
One position is looking to be filled immediately the second position would have a tentative start date January 2023.
The ideal candidate has an outgoing personality with a passion for providing high-quality services, enjoys supporting and educating academic researchers, has some experience with academic computing, and is able to apply those skills to UVA’s research computing environment. We seek an energetic self-starter and quick learner who enjoys technical problem solving and working on multiple projects simultaneously, has strong communication skills, and is a team player. The ideal candidate will have research experience in image analysis, bioinformatics, life science or data science.
We offer a friendly, diverse, and inclusive work environment in a small group (less than 25 staff), and a supportive workplace. Funding is available for a limited amount of travel for professional development.
Both positions are hybrid roles requiring occasional travel to UVA campus (Grounds) for office work, educational outreach and to meet with researchers.
Responsibilities:
• Provide technical support for use of RC’s computing and storage services.
• Create internal and user-facing technical documentation.
• Assist senior staff with expanding educational and consulting offerings in their field of expertise, such as bioinformatics, image analysis, or data science and database usage.
• Support senior staff with organizing outreach events to strengthen the research computing community at UVA. For one of the positions, this includes expansion of RC’s partnership with peer institutions under the NSF funded ACCORD (Assuring Controls Compliance of Research Data) program.
• Assist with onboarding and educating researchers to use RC’s computing resources for processing sensitive and highly sensitive data.
RequirementsMinimum Requirements:
• Bachelor’s degree mathematics, science, or engineering or a related area.
• Familiarity with data analysis in a Linux environment.
• At least one year of relevant experience. Relevant experience may be considered in lieu of a degree.
Preferred Education and Experience:
• Master of Science degree in biomedical engineering, general engineering, science, mathematics or research experience in life science, data science or a related area is preferred.
• At least 2 years of experience with R, Python, or Matlab programming.
• Familiarity with image analysis, computational bioinformatics, computational neuroscience, neuroimaging, or clinical data analysis workflows is a plus.
• Familiarity with using database management systems (e.g. SQL, PostgreSQL, or MongoDB).
• Experience with high-performance computing and basic shell scripting is a plus.
• Teaching or user training experience in any computational research domain is a plus.
• Familiarity with software container technology is a plus.
Company DescriptionThe University of Virginia Research Computing (RC) group is committed to transforming computational research across Grounds by:
• expanding high-performance computing capacity and usage
• enabling digital and computational literacy through education and outreach
• providing direct support for computationally-intensive research projects
Through these efforts, RC seeks to promote a culture of computational research, foster a multi-disciplinary ethos, and enable the effective use of high-end computing.
RC is an organization that values results and teamwork. We like the people we work with and the work we get to do. We strive to create a welcoming and supportive workplace where everyone feels empowered to be their authentic selves and share ideas. We embrace a commitment to diversity, equity, and inclusion. RC values work-life balance and provides flexible work location options where possible.
·
·
2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Storage Hardware Lead
·
Jefferson Lab
·
Newport News, VA
Hide Details
SessionJob Postings
DescriptionWhat your job will be like:
At Jefferson Lab (JLab), you’ll have the chance to build a career as exceptional as you are, supporting a world-changing scientific mission. We’re counting on your unique voice and perspective to help JLab make tangible positive impact on the world around us as we explore the frontiers of advanced science. Join us, and help build the future.
JLab’s Computational Science and Technology (CST) division provides advanced computational tools and solutions to support an ecosystem of scientists, engineers, and staff. We are seeking a dynamic Lead Storage Systems Specialist. As part of CST, you will have primary responsibility for coordinating the planning, design, and operation of storage solutions in support of diverse communities including Experimental Nuclear Physics program, the Theory Center, and the Data Science department. We have a bright future ahead and want you to be part of it.
This position involves an exciting opportunity to participate in the development of a new facility with a large user base. That translates to more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact. Come and join our team!
In this role you will:
- Develop high performance and high throughput storage systems with high availability and class leading performance.
- Research and recommend leading storage solutions that balance performance, efficiency, and cost-effectiveness.
- Participate in long-term planning for lab computing infrastructure that will demand concurrent facility operation and upgrades.
- Coordinate group projects that involve developers, system administrators, and network staff.
- Be an active participant and technical contributor to such storage projects.
- Analyze and use trends and monitoring data from diverse sources to tune storage systems.
- Produce written documentation for diverse audiences, including system administrators, lab management, peers, and professional organizations
At Jefferson Lab (JLab), you’ll have the chance to build a career as exceptional as you are, supporting a world-changing scientific mission. We’re counting on your unique voice and perspective to help JLab make tangible positive impact on the world around us as we explore the frontiers of advanced science. Join us, and help build the future.
JLab’s Computational Science and Technology (CST) division provides advanced computational tools and solutions to support an ecosystem of scientists, engineers, and staff. We are seeking a dynamic Lead Storage Systems Specialist. As part of CST, you will have primary responsibility for coordinating the planning, design, and operation of storage solutions in support of diverse communities including Experimental Nuclear Physics program, the Theory Center, and the Data Science department. We have a bright future ahead and want you to be part of it.
This position involves an exciting opportunity to participate in the development of a new facility with a large user base. That translates to more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact. Come and join our team!
In this role you will:
- Develop high performance and high throughput storage systems with high availability and class leading performance.
- Research and recommend leading storage solutions that balance performance, efficiency, and cost-effectiveness.
- Participate in long-term planning for lab computing infrastructure that will demand concurrent facility operation and upgrades.
- Coordinate group projects that involve developers, system administrators, and network staff.
- Be an active participant and technical contributor to such storage projects.
- Analyze and use trends and monitoring data from diverse sources to tune storage systems.
- Produce written documentation for diverse audiences, including system administrators, lab management, peers, and professional organizations
RequirementsQualifications We Require:
Education:
- BS degree in Computer Science or other relevant information technology field from an accredited university
Experience:
- Six years of experience with the management of large storage systems
Knowledge, Skills and Abilities:
- Expert knowledge of Linux System administration
- Expertise in the specification, configuration, tuning, and operation of Lustre Filesystems
- Desired knowledge of parallel and distributed filesystems
- Experience with grid tools such as XRootD, CVMFS, and HTCondor.
- Knowledge of Networking including InfiniBand and Ethernet as they pertain to storage systems,
- Expert knowledge of Tape-based storage technology
- Demonstrated experience in python and shell scripting
- Desired knowledge in other languages such as C, C++, Java, and Perl
- Ability to work in the data center and to participate in an on-call rotation.
Qualifications We Desire:
- A master's degree in computer science or STEM field is preferred
- Experience in a dynamic research environment preferred
- Strong communication skills and ability to report on progress of tasks and projects
- Excellent interpersonal skills with the ability to work on project teams
- Excellent leadership and management skills
Company DescriptionAbout Jefferson Lab:
Join a community with a common purpose of solving the most challenging scientific and engineering problems of our time. The Jefferson Lab campus is located in southeastern Virginia amidst a vibrant and growing technology community.
A career at Jefferson Lab is more than a job. You will be part of “big science” and work alongside top scientists and engineers from around the world unlocking the secrets of our visible universe. Managed by Jefferson Science Associates, LLC; Thomas Jefferson National Accelerator Facility is entering an exciting period of mission growth and is seeking new team members ready to apply their skills and passion to have an impact. You could call it work, or you could call it a mission. We call it a challenge. We do things that will change the world.
Total Rewards at Jefferson Lab:
At Jefferson Lab, we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:
Medical, Dental, and Vision Care Plans
Flexible Spending Accounts
Paid Time-off and Leave Programs (vacation, holidays, sick leave)
401(k) Plan – 9% Lab Contribution; 100% vested
Flexible Work Arrangements (Hybrid & Alternate Work Schedules available)
Tuition Assistance, Training and Professional Development Programs
Live near the waterways of the Chesapeake Bay region with access to nearby beaches, mountains, and all major metropolitan centers on the East Coast.
·
·
2022-10-20
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC-HTC Software Specialist
·
Jefferson Lab
·
Newport News, VA
Hide Details
SessionJob Postings
DescriptionWhat your job will be like:
As an HPC-HTC (High Performance High Throughput Computing) Software Specialist, you will work closely with hardware manufacturers, scientists, operations and networking teams in projects that develop and deploy software solutions that support complex, compute intensive workloads, parallel filesystems and low latency networks. The specialist will be an innovator who can work as part of a team of skilled professionals, can brainstorm big ideas, work in new technology areas, thrive in ambiguity, able to map trade spaces, able to drive a concept into a prototype, and can envision how a prototype could transition into cutting-edge science.
In this role you will:
- Coordinate with hardware manufacturers, scientists, engineers and application developers to architect solutions that fully leverage computing resources and are orders of magnitude faster than the alternatives, while also much easier to use
- Produce written documentation for diverse audiences, including system administrators, lab management, peers, and professional organizations
As an HPC-HTC (High Performance High Throughput Computing) Software Specialist, you will work closely with hardware manufacturers, scientists, operations and networking teams in projects that develop and deploy software solutions that support complex, compute intensive workloads, parallel filesystems and low latency networks. The specialist will be an innovator who can work as part of a team of skilled professionals, can brainstorm big ideas, work in new technology areas, thrive in ambiguity, able to map trade spaces, able to drive a concept into a prototype, and can envision how a prototype could transition into cutting-edge science.
In this role you will:
- Coordinate with hardware manufacturers, scientists, engineers and application developers to architect solutions that fully leverage computing resources and are orders of magnitude faster than the alternatives, while also much easier to use
- Produce written documentation for diverse audiences, including system administrators, lab management, peers, and professional organizations
RequirementsQualifications We Require:
Education:
- BS in computer science, information systems or other relevant information technology field.
Experience:
- 6+ years of experience in developing, deploying, and testing high performance high throughput computing based software solutions.
Knowledge, Skills and Abilities:
-Experience developing, debugging and optimizing applications in Bash, Perl, Python or C/C++.
-Experience developing software for Linux/Unix variants, especially RedHat/RHEL and its derivatives.
-Experience with multiple hardware architectures (such as x86, ARM).
-Experience with kernel and multi-threaded programming.
-Experience with MPI, OpenMP.
-Deep understanding of TCP/IP and the Linux networking stack.
-Experience with high-speed low latency networks (e.g., Infiniband).
-Experience with job scheduling systems (e.g., SLURM), parallel file systems (e.g., Lustre), and configuration management technologies (e.g., Puppet).
-Diagnose and resolve system-level issues, analyze and tune performance at scale to deliver a stable and fully tested solution.
-Communicates and collaborates with stakeholders and software developers for the resolution of technical challenges and clarification of scientific requirements.
-Ability to clearly communicate and report on progress of tasks and projects.
-Excellent interpersonal skills, ability to effectively work on project teams.
Qualifications We Desire:
Education:
-Master’s degree in computer science, information systems or other relevant information technology field.
Experience:
- 6+ years of experience in developing, deploying, and testing high performance high throughput computing based software solutions.
- Experience in leading teams on medium to large scale complex projects.
Knowledge, Skills, and Abilities:
-Demonstrated ability to learn and apply knowledge of new products and emerging technologies specifically around HPHTC deployments; leverage existing technology practices, standards, and procedures; manage mid to large-sized infrastructure evaluation and deployment projects.
-Experience with virtualization and container architecture.
-Experience working and collaborating in an academic or research environment.
Company DescriptionAbout Jefferson Lab:
Join a community with a common purpose of solving the most challenging scientific and engineering problems of our time. The Jefferson Lab campus is located in southeastern Virginia amidst a vibrant and growing technology community.
A career at Jefferson Lab is more than a job. You will be part of “big science” and work alongside top scientists and engineers from around the world unlocking the secrets of our visible universe. Managed by Jefferson Science Associates, LLC; Thomas Jefferson National Accelerator Facility is entering an exciting period of mission growth and is seeking new team members ready to apply their skills and passion to have an impact. You could call it work, or you could call it a mission. We call it a challenge. We do things that will change the world.
Total Rewards at Jefferson Lab:
At Jefferson Lab, we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:
Medical, Dental, and Vision Care Plans
Flexible Spending Accounts
Paid Time-off and Leave Programs (vacation, holidays, sick leave)
401(k) Plan – 9% Lab Contribution; 100% vested
Flexible Work Arrangements (Hybrid & Alternate Work Schedules available)
Tuition Assistance, Training and Professional Development Programs
Live near the waterways of the Chesapeake Bay region with access to nearby beaches, mountains and all major metropolitan centers on the East Coast
·
·
2022-09-27
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Computing Systems Specialist
·
Stanford Research Computing/Stanford University
·
Stanford, CA
Hide Details
SessionJob Postings
DescriptionThe Data, Analytics, and Research Computing (DARC) team at the Stanford Graduate School of Business seeks a Research Computing Information Systems Specialist or Research Computing System Administrator 3. You will be embedded within and report to the Stanford Research Computing Center (SRCC) team to ensure GSB’s research computing environment serves as a competitive enabler for researchers working with data and computation. You will learn about researcher needs, identify system shortcomings, solve technical problems and design performant solutions for evolving research computing needs. This role requires expert knowledge of research computing systems and workflows, as well as a savvy approach to delivering results in a large organization.
DARC is a team of data enthusiasts that possess an insatiable curiosity for data, research and technology, bringing dedication to the work, and a commitment to growth and balance on the team. Expect to work with bright minds on challenging problems, continually evaluate emerging tools, and apply new techniques in system administration and research computing. As these technologies and research questions evolve, so will your role.
Responsibilities include:
Plan, deploy, tune and monitor storage solutions on the GSB Linux cluster, attending to complex network topography, usage patterns and user experience.
Coordinate with members of GSB and Stanford Research Computing Center (SRCC) to design systems and review system specifications.
Provide leadership and solutions for complex research computing problems, striking a balance between cloud solutions, semi-private on-premises systems and custom.
Evaluate emerging software services and solutions through the specific lens of the GSB Research Community and Stanford’s current offerings.
Develop and automate operational workflows for provisioning new users, data sets and machines.
Troubleshoot highly complex problems for which the analysis and resolution require extensive knowledge of diverse system components.
Develop long range technology plans in service of the research taking place at the GSB.
Provide project management, coordination, and programming for systems and client facing research computing projects.
DARC is a team of data enthusiasts that possess an insatiable curiosity for data, research and technology, bringing dedication to the work, and a commitment to growth and balance on the team. Expect to work with bright minds on challenging problems, continually evaluate emerging tools, and apply new techniques in system administration and research computing. As these technologies and research questions evolve, so will your role.
Responsibilities include:
Plan, deploy, tune and monitor storage solutions on the GSB Linux cluster, attending to complex network topography, usage patterns and user experience.
Coordinate with members of GSB and Stanford Research Computing Center (SRCC) to design systems and review system specifications.
Provide leadership and solutions for complex research computing problems, striking a balance between cloud solutions, semi-private on-premises systems and custom.
Evaluate emerging software services and solutions through the specific lens of the GSB Research Community and Stanford’s current offerings.
Develop and automate operational workflows for provisioning new users, data sets and machines.
Troubleshoot highly complex problems for which the analysis and resolution require extensive knowledge of diverse system components.
Develop long range technology plans in service of the research taking place at the GSB.
Provide project management, coordination, and programming for systems and client facing research computing projects.
RequirementsRequirements are:
- Bachelor's degree and eight years (System Administrator 3) / ten years (Information Systems Specialist) relevant experience or a combination of education and experience.
- Expert knowledge of Linux systems and associated technology, including ZFS, NFS, process monitoring, I/O monitoring and ACLs (POSIX, NFSv3, and NFSv4)
- Expertise in site reliability or dev-ops workflows, including configuration management (e.g., puppet, chef, ansible), automated testing, and performance monitoring
- Fluency in Bash, Python, or similar for writing scripts in Linux
- Demonstrated experience in managing research computing clusters, including planning, configuration, lifecycle management
- Strong communication skills to effectively educate internal and external audiences.
- Strong analytical skills to understand researcher requirements in data-intensive computational fields
- Effective cross-functional skills to build professional networks, learn bespoke systems, integrate diverse tools and improve the user experience for GSB researchers
- Experience working with high risk data, meeting requirements for compliance, and designing policies and procedures for ensuring data privacy
Preferred skills/experience includes:
- Extensive experience in one or more programming languages used in academic research, including R, Stata, SAS, Julia, Matlab or similar.
- Experience with High Performance Computing (HPC) systems and tools, including the Slurm scheduler and Open On Demand, as well as their integrations with RStudio and JupyterHub
- Development of cloud infrastructure using AWS or GCP, and integrating those tools with on-premises resources
- Use of both virtual machines and containers to support complex workloads
- Experience with data pipelines and tools for transferring, manipulating and querying data in the multi-terabyte scale
Company DescriptionAt the heart of Stanford's culture is a genuine love of and deep passion for continued education. We're passionate about enabling a culture of collaboration, excellence and continuous learning that enables our impressive mission. We're enthusiastically working to progress the frontiers of knowledge, inspire innovation and creativity, and ultimately prepare our community to think broadly, deeply and critically about the world's problems—and how to best be of service in an increasingly connected world.
·
·
2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Data Management Research Scientist
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
Hide Details
SessionJob Postings
DescriptionData Management Research Scientist - 97312
Division: DD-Data Science
Berkeley Lab’s (LBNL, https://www.lbl.gov/) Scientific Data Division has an immediate opening for a Career-Track Data Management Research Scientist to join the Scientific Data Management (SDM) Group to perform R&D on tools and technologies that bridge the performance gap between memory and storage on high performance computing (HPC) systems.
In this exciting role, you will lead to development of optimization techniques that enable storage systems to perform automatic data movement and efficient I/O operations for science applications. The developed technologies will be evaluated extensively and deployed on supercomputing systems at DOE facilities. Application programming interfaces (API) developed in this work will be available for a broader set of applications beyond science areas.
You will perform research on storage and I/O technologies for existing and future supercomputing systems. You will participate in researching and developing approaches for optimizing data access, in improving DOE applications’ data management performance on supercomputing facilities, and in helping to develop new proposals in HPC storage research as well as in the broader area of Scientific Data Management.
What You Will Do:
• Research and develop storage systems and parallel I/O technologies that affect performance of storing and accessing by scientific applications.
• Apply expertise in parallel I/O APIs and performance optimization to HPC applications.
• Research and develop object storage interface and data movement technologies for HPC, cloud, and edge computing environments.
• Document and publish work in the journals, conferences, and workshops.
• Collaborate with domain scientists and teams in making data management on HPC systems easier to use.
• Collaborate with other computer scientists, applied mathematicians, and computational scientists to ensure the resultant technologies are applicable for their respective applications and workflows.
• Interface with Principal Investigators, peers and managers at LBNL, external collaborators, sponsors, and stakeholders by conducting teleconferences, attending workshops, writing workshop reports and conference papers, and corresponding to program managers as needed.
• Contribute new ideas that can lead to research grant proposals.
• Collaborate with NERSC in evaluating storage technologies, profiling I/O, understanding I/O performance.
• May help project PI to coordinate the work of technical support staff or students.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full time, 2 years, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site or hybrid. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=244053 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: DD-Data Science
Berkeley Lab’s (LBNL, https://www.lbl.gov/) Scientific Data Division has an immediate opening for a Career-Track Data Management Research Scientist to join the Scientific Data Management (SDM) Group to perform R&D on tools and technologies that bridge the performance gap between memory and storage on high performance computing (HPC) systems.
In this exciting role, you will lead to development of optimization techniques that enable storage systems to perform automatic data movement and efficient I/O operations for science applications. The developed technologies will be evaluated extensively and deployed on supercomputing systems at DOE facilities. Application programming interfaces (API) developed in this work will be available for a broader set of applications beyond science areas.
You will perform research on storage and I/O technologies for existing and future supercomputing systems. You will participate in researching and developing approaches for optimizing data access, in improving DOE applications’ data management performance on supercomputing facilities, and in helping to develop new proposals in HPC storage research as well as in the broader area of Scientific Data Management.
What You Will Do:
• Research and develop storage systems and parallel I/O technologies that affect performance of storing and accessing by scientific applications.
• Apply expertise in parallel I/O APIs and performance optimization to HPC applications.
• Research and develop object storage interface and data movement technologies for HPC, cloud, and edge computing environments.
• Document and publish work in the journals, conferences, and workshops.
• Collaborate with domain scientists and teams in making data management on HPC systems easier to use.
• Collaborate with other computer scientists, applied mathematicians, and computational scientists to ensure the resultant technologies are applicable for their respective applications and workflows.
• Interface with Principal Investigators, peers and managers at LBNL, external collaborators, sponsors, and stakeholders by conducting teleconferences, attending workshops, writing workshop reports and conference papers, and corresponding to program managers as needed.
• Contribute new ideas that can lead to research grant proposals.
• Collaborate with NERSC in evaluating storage technologies, profiling I/O, understanding I/O performance.
• May help project PI to coordinate the work of technical support staff or students.
Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/
Notes:
• This is a full time, 2 years, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work may be performed on-site or hybrid. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=244053 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• PhD degree in applied mathematics, computer science, physics, or related fields or equivalent combination of education and experience.
• Demonstrated expertise in the optimizing storage systems and I/O libraries.
• Demonstrated experience in working with high-performance computing applications using C/C++, Python, R, MPI, and I/O libraries, such as HDF5 and MPI-IO.
• Demonstrated experience in performance modeling and performance analysis for parallel I/O.
• Demonstrated experience in using distributed-memory computing platforms.
• Proficient with C/C++, MPI.
• Extensive working knowledge of common I/O libraries including HDF5, netCDF, and MPI-IO.
Desired Qualifications:
• Familiar with the internals of I/O libraries such as HDF5.
• Familiarity with HPC I/O performance software stack and optimizations.
·
·
2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Scientific Researcher for System Software and Application Performance Optimization (m/f/d)
·
Technische Universität München
·
Munich, Germany
Hide Details
SessionJob Postings
DescriptionThe Chair for Computer Architecture and Parallel Systems (CAPS) offers several scientific researcher positions (100% TV-L E13) in the area of the development of system software (in particular parallel runtime systems), performance analysis, modeling and optimization, as well as parallel performance tools. Work includes designing and optimizing software stacks for parallel systems, application performance optimization and tuning, as well as tools for system and application performance analysis. The position are in the context for German and EU funded research projects bringing together expertise from a wide range of partners in academia and industry, with both application and system expertise.
CAPS is part of TUM’s department of Computer Engineering, one of the leading CE departments in Europe. We focus on a wide range of aspects of computer architecture – from edge and IoT devices to HPC and cloud systems, from AI accelerators to quantum computing systems – as well as the needed system software needed to extract a maximum of efficiency form the respective architectures. The latter includes work on programming models, operating systems, scheduling, tools, I/O as well as application optimization.
CAPS is part of TUM’s department of Computer Engineering, one of the leading CE departments in Europe. We focus on a wide range of aspects of computer architecture – from edge and IoT devices to HPC and cloud systems, from AI accelerators to quantum computing systems – as well as the needed system software needed to extract a maximum of efficiency form the respective architectures. The latter includes work on programming models, operating systems, scheduling, tools, I/O as well as application optimization.
RequirementsRequired Qualifications:
· Above-average MS degree with emphasis in informatics, computer engineering or a related field.
· Very good knowledge of computer and system architecture, as well as performance engineering.
· Pleasure in taking responsibility, independent and structured way of working, high commitment, communication and team skills as well as very good English skills.
Preferred Qualifications:
· Experience using and/or developing performance analysis tools
· Some experiences in performance modeling and model validation
Company DescriptionOur Offer
We offer an interesting, well-equipped workplace at a renowned university and a pleasant working atmosphere in a nice and very international team. There is also a high degree of flexibility and self-responsibility and the opportunity to present scientific papers at international conferences. Work will be conducted either in collaboration with multiple collaborators at German and/or EU partner sites.
Application
Please send your complete applications (curriculum vitae, copies of certificates, letter of recommendation if available) until 23.12.2022 by e-mail in the form of a single PDF file, to Prof. Dr. Schulz (schulzm@in.tum.de). Applications received after the application deadline may be considered for future application rounds until the position has been filled.
TUM aims to increase the proportion of women and minorities in teaching and research. Qualified women and members of minority groups are therefore explicitly encouraged to apply. Disabled applicants will be given preference if their suitability and qualifications are otherwise essentially equal.
Data protection notice
When applying for a position at the Technical University of Munich (TUM), you submit personal data. Please refer to our data protection information in accordance with Art. 13 of the General Data Protection Regulation (DSGVO) go.tum.de/554159 regarding the collection and processing of personal data as part of your application. By submitting your application, you confirm that you have taken note of the TUM data protection information.
·
·
2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Research Data Facilitator
·
Stanford Research Computing Center
·
Stanford, CA
Hide Details
SessionJob Postings
DescriptionCome work with us & world-class researchers! The Stanford Research Computing Center (SRCC) seeks passionate, curious applicants for a new Research Data Facilitator position. In this role, you will work with faculty and their research teams to ensure the successful integration of computing & data technologies into their research activities. Work will especially focus on facilitating data acquisition, analysis, and computational projects, with a primary goal of helping researchers be productive sooner as they navigate the complex technology environment. This is a researcher-facing role. Core responsibilities include Researcher Engagement, Solutions Development, Documentation & Training for research teams, and Collaboration.
RequirementsMinimum requirements: An advanced degree plus seven years of relevant experience, or combination of education and relevant experience..
Knowledge of key data structures, algorithms and techniques relevant to systems that support high volume or variety research datasets (including data mining, common data formats, NLP, data retrieval).
Experience with relational, NoSQL or other databases both traditional and cloud-based (for example, BigQuery).
Knowledge of general research-related regulatory standards as they may apply to research data management
Experience deploying, supporting and analyzing large-scale research datasets on scalable platforms.
Demonstrated excellence in written and verbal communications.
Advanced level knowledge of data provisioning and analysis.
This position is considered hybrid, with at least 2 days a week on-site at Stanford.
Company DescriptionAt the heart of Stanford's culture is a genuine love of and deep passion for continued education. We're passionate about enabling a culture of collaboration, excellence and continuous learning that enables our impressive mission. We're enthusiastically working to progress the frontiers of knowledge, inspire innovation and creativity, and ultimately prepare our community to think broadly, deeply and critically about the world's problems—and how to best be of service in an increasingly connected world. The Stanford Research Computing Center is sponsored by the Office of the Vice Provost and Dean of Research, as well as by University IT (UIT). Our team is growing, and we are proud to facilitate the world-class research that characterizes Stanford.
·
·
2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Lead Computational Scientist, Aerospace and Defense Applications
·
Purdue University
·
Remote
Hide Details
SessionJob Postings
DescriptionWhat You'll Be Doing:
As the Lead Computational Scientist, you will be an integral part of our researcher-facing support team, leading the support of Purdue’s initiatives in aerospace and national defense, and the Purdue Applied Research Institute (PARI). Under minimal direction, you will be responsible for designing and managing projects using computational tools on large-scale research computing systems. You will engage in active development of collaborative partnerships with univeristy researchers, staff, and external collaborators to lead computational implementation needed to drive Purdue's cutting-edge research. You will utilize creativity and innovation to solve complex computational problems raised by researchers and collaborate with them to develop proposal opportunities. You will provide strategic leadership and technical project management for shared cyberinfrastructure initiatives and evaluate current and future trends in areas of high-performance computing. You will design and deliver training workshops on computational tools to Purdue research communities and participate in national computing activities by attending workshops, conferences, and potentially presenting research. you may be responsible for coaching and reviewing the work of lower-level professionals.
The Rosen Center for Advanced Computing provides access to leading-edge computational and data storage systems as well as expertise in a broad range of high-performance computing activities. To fulfill our mission, we:
provide advanced computational resources and services to support Purdue faculty and staff researchers
evaluate, deploy, and support hardware and software for large-scale scientific computing
promote the effective use of our research computing systems and application software through training and education, consultation, and documentation
contribute to the discovery process through algorithm design and development of effective computing techniques
This position provides several opportunities for research collaborations, leadership, external community engagement, and professional development.
This is a remote position.
As the Lead Computational Scientist, you will be an integral part of our researcher-facing support team, leading the support of Purdue’s initiatives in aerospace and national defense, and the Purdue Applied Research Institute (PARI). Under minimal direction, you will be responsible for designing and managing projects using computational tools on large-scale research computing systems. You will engage in active development of collaborative partnerships with univeristy researchers, staff, and external collaborators to lead computational implementation needed to drive Purdue's cutting-edge research. You will utilize creativity and innovation to solve complex computational problems raised by researchers and collaborate with them to develop proposal opportunities. You will provide strategic leadership and technical project management for shared cyberinfrastructure initiatives and evaluate current and future trends in areas of high-performance computing. You will design and deliver training workshops on computational tools to Purdue research communities and participate in national computing activities by attending workshops, conferences, and potentially presenting research. you may be responsible for coaching and reviewing the work of lower-level professionals.
The Rosen Center for Advanced Computing provides access to leading-edge computational and data storage systems as well as expertise in a broad range of high-performance computing activities. To fulfill our mission, we:
provide advanced computational resources and services to support Purdue faculty and staff researchers
evaluate, deploy, and support hardware and software for large-scale scientific computing
promote the effective use of our research computing systems and application software through training and education, consultation, and documentation
contribute to the discovery process through algorithm design and development of effective computing techniques
This position provides several opportunities for research collaborations, leadership, external community engagement, and professional development.
This is a remote position.
RequirementsWhat We're Looking For:
Education and Experience
Must have:
Master’s degree in engineering, math, physical or life sciences, computer science or related field
An equivalent combination of education and/or experience will be accepted
Four (4) years of experience in:
developing parallel computing applications, libraries, or software tools
working with researchers to integrate computing techniques into research activities
using common HPC programming languages, tools, and techniques including Fortran and/or C/C++, MPI, OpenMP, CUDA
Analyzing and optimizing performance of scientific applications
US Citizenship is required
Effective communication and inter-personal skills
Preferred:
PhD in related field
Able to obtain and maintain a Top-Secret security clearance
Research background or collaboration in an academic environment
Skills that look good:
Knowledge of Linux operating system and version control software (i.e. GIT)
Knowledge of engineering computational methods and tools for computational fluid dynamics, finite element analysis, discrete element analysis, etc.
Demonstrated project management skills with the ability to plan, organize and prioritize tasks, and complete projects with minimal supervision
Demonstrated skills in self-motivation, analytical, and problem-solving skill
Ability to:
mentor other professionals
effectively make presentations and develop and present training material
work as part of a high performing team in a collaborative environment
work positively in an inclusive and diverse environment
Develop documentation
Preferred:
Demonstrated ability to effectively mentor students
Good verbal and written English communication skills including the ability to consult with researchers
Additional Information:
All new hires will be expected to follow Protect Purdue
Purdue University will not sponsor employment authorization for this position
A background check will be required for employment in this position
FLSA: Exempt (Not Eligible for Overtime)
Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply
Benefit Statement: Purdue University offers a substantial Benefit Package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days
Company DescriptionRCAC provides a large and diverse set of high-performance computing, data-intensive and cloud computing resources, high-speed network connections to national research wide-area networks, and large data storage and archival systems to the broad research communities at Purdue and elsewhere.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Software Engineer – Position #244663
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Georgia Institute of Technology
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Atlanta, GA
Hide Details
SessionJob Postings
DescriptionResponsibilities:
Contribute to one or more software projects among the ones pursued by the center.
Design, develop, test, deploy, and maintain software systems.
Interact with other engineers in the center.
Contribute to one or more software projects among the ones pursued by the center.
Design, develop, test, deploy, and maintain software systems.
Interact with other engineers in the center.
RequirementsQualifications:
BSCS or higher degree.
Software engineering background.
Development experience.
Ability to build, deploy, and maintain software using modern software engineering practices and tools, including automated provisioning and CI/CD is desirable.
Experience consuming and contributing to open-source software projects is desirable.
Company DescriptionThe Scientific Software Engineering (SSE) Center at Georgia Tech, one of the four inaugural VISS Centers, aims to support the development of better quality, more sustainable scientific software. To achieve this goal, the Center will (1) give scientific researchers access to full-time professional engineers and state-of-the-art technology and techniques, such as high-end computing and storage resources, (2) support long-term scientific platforms and systems, and (3) encourage best practices in open science.
The SSE Center is building a team and is looking for professional software engineers at different levels of seniority who are excited about working in a highly dynamic and research-oriented development environment and can join us to help us achieve our goals. Experience with modern software engineering practices and tools, such as automated provisioning and CI/CD, is required, as well as the ability to work well in a team. An understanding of scientific software development and experience with open-source software are highly desirable.
In addition to receiving a competitive salary, the engineers will also be considered as either professors of the practice or adjunct faculty members of the College of Computing, depending on their level of seniority and degree. Furthermore, they will work with and get access to the Georgia Tech ecosystems, will be involved in exciting and highly visible research projects at the forefront of technology, and will have the option of teaching classes or being guest lecturers and mentoring students.
We have the following openings:
Lead Software Engineer
Senior Software Engineer
Software Engineer
We provide details about the different positions below. If interested to learn more about the position and have an initial discussion with the directors, please submit (1) a CV and (2) a short statement of interest that clearly states in which position you are interested and why you believe you are a good fit for the position. Please submit the documents by email to ssecenter@cc.gatech.edu.
Note that you can also directly apply via the GT Careers website using the External Applicants link and searching for the position numbers below. Internal candidates can search for the openings using OneUSG Connect and the Recruiting Self Service page. You will need to upload the following documents.
CV
Statement of interest/cover letter
Names and contact information for at least 3 references. Note that references are only contacted later in the process, and we will respect candidate’s wishes for discretion.
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2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Senior Software Engineer – Position #247012
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Georgia Institute of Technology
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Atlanta, GA
Hide Details
SessionJob Postings
DescriptionResponsibilities:
Contribute to and possibly lead one or more software projects among the ones pursued by the center.
Design, develop, test, deploy, and maintain software systems.
Interact with other engineers in the center, including mentoring more junior engineers and possibly student interns.
Contribute to and possibly lead one or more software projects among the ones pursued by the center.
Design, develop, test, deploy, and maintain software systems.
Interact with other engineers in the center, including mentoring more junior engineers and possibly student interns.
RequirementsQualifications:
5+ years of experience as a practicing software engineer.
MSCS or higher degree.
Ability to build, deploy, and maintain software using modern software engineering practices and tools, including automated provisioning and CI/CD.
Ability to read, understand, and implement concepts from scientific publications and/or advanced degree in Computer Science/Math/Physics.
Experience consuming and contributing to open-source software projects is desirable.
Experience with the development of scientific software (e.g., scientific models and simulations) is desirable.
Company DescriptionThe Scientific Software Engineering (SSE) Center at Georgia Tech, one of the four inaugural VISS Centers, aims to support the development of better quality, more sustainable scientific software. To achieve this goal, the Center will (1) give scientific researchers access to full-time professional engineers and state-of-the-art technology and techniques, such as high-end computing and storage resources, (2) support long-term scientific platforms and systems, and (3) encourage best practices in open science.
The SSE Center is building a team and is looking for professional software engineers at different levels of seniority who are excited about working in a highly dynamic and research-oriented development environment and can join us to help us achieve our goals. Experience with modern software engineering practices and tools, such as automated provisioning and CI/CD, is required, as well as the ability to work well in a team. An understanding of scientific software development and experience with open-source software are highly desirable.
In addition to receiving a competitive salary, the engineers will also be considered as either professors of the practice or adjunct faculty members of the College of Computing, depending on their level of seniority and degree. Furthermore, they will work with and get access to the Georgia Tech ecosystems, will be involved in exciting and highly visible research projects at the forefront of technology, and will have the option of teaching classes or being guest lecturers and mentoring students.
We have the following openings:
Lead Software Engineer
Senior Software Engineer
Software Engineer
We provide details about the different positions below. If interested to learn more about the position and have an initial discussion with the directors, please submit (1) a CV and (2) a short statement of interest that clearly states in which position you are interested and why you believe you are a good fit for the position. Please submit the documents by email to ssecenter@cc.gatech.edu.
Note that you can also directly apply via the GT Careers website using the External Applicants link and searching for the position numbers below. Internal candidates can search for the openings using OneUSG Connect and the Recruiting Self Service page. You will need to upload the following documents.
CV
Statement of interest/cover letter
Names and contact information for at least 3 references. Note that references are only contacted later in the process, and we will respect candidate’s wishes for discretion.
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·
2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Data Solutions Architect
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Georgia Institute of Technology
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remote eligible
Hide Details
SessionJob Postings
DescriptionDo you have a background in science or engineering research and passion for Data? Do you want to contribute to enabling the advancement of innovative multi-disciplinary research and help Georgia Tech’s researchers “create the next”? If yes, then apply for the Data Solutions Architect position with Georgia Tech’s PACE team that’s located in the heart of vibrant Atlanta, Georgia.
The Partnership for an Advanced Computing Environment (PACE) team defines and manages centralized research computing services at the Georgia Institute of Technology. We facilitate research efforts and foster strategic partnerships to provide Georgia Tech researchers with an unrivaled advantage, empowering them to lead their disciplines for the advancement of science and society across the globe. In addition to high-performance computing, we incorporate emerging cloud, network, data analytics, and storage technologies. Our growing team directly supports faculty, students, and other researchers resulting in a dynamic environment filled with intellectual stimulation and continuous innovation.
In this role, you will work with PACE’s systems administrators, architects, research software engineers and research computing facilitators in defining and developing data service offerings. Additionally, you will work directly with researchers on high-profile research projects that may include requirements analysis, design, software engineering, testing, deployment, and maintenance with an emphasis on reproducibility.
Georgia Tech’s Partnership for an Advanced Computing Environment (PACE) program is seeking a Data Solutions Architect (Research Scientist I/II) to join our team. This will be a remote-eligible position that can work on campus or elsewhere (within or out of Georgia).
The Partnership for an Advanced Computing Environment (PACE) team defines and manages centralized research computing services at the Georgia Institute of Technology. We facilitate research efforts and foster strategic partnerships to provide Georgia Tech researchers with an unrivaled advantage, empowering them to lead their disciplines for the advancement of science and society across the globe. In addition to high-performance computing, we incorporate emerging cloud, network, data analytics, and storage technologies. Our growing team directly supports faculty, students, and other researchers resulting in a dynamic environment filled with intellectual stimulation and continuous innovation.
In this role, you will work with PACE’s systems administrators, architects, research software engineers and research computing facilitators in defining and developing data service offerings. Additionally, you will work directly with researchers on high-profile research projects that may include requirements analysis, design, software engineering, testing, deployment, and maintenance with an emphasis on reproducibility.
Georgia Tech’s Partnership for an Advanced Computing Environment (PACE) program is seeking a Data Solutions Architect (Research Scientist I/II) to join our team. This will be a remote-eligible position that can work on campus or elsewhere (within or out of Georgia).
RequirementsResponsibilities
Identify, design, and develop reusable solutions for “Data-as-a-Service" offerings for the research community.
Participate and Lead Governance around Research Data, particularly in the aspect of “Data-as-a-Service” offering.
Respond to a wide range of requests submitted by faculty & student researchers spanning areas of research computing, with a particular focus on the access, packaging, and use of research data.
Perform software development and systems integration and implementation as appropriate to achieve high-quality, on-time deployments of research-related IT infrastructure and associated data as a service (DaaS) and software as a service (SaaS) solutions. This includes requirements analysis, design, implementation, testing, deployment and maintenance.
Assist with the implementation of best practices and process improvements to facilitate reproducibility and reliability of research solutions. Mentor teammates as appropriate to improve skill sets for the team.
Perform the role of Subject Matter Expert in interactions with researchers, faculty, and other IT professionals on matters involving community input and data-driven feedback, as well as features and services that will benefit the Georgia Tech research community
Contribute to the documentation and training for PACE service offerings.
Assist with the diagnosis and troubleshooting of research-related system performance or other issues as they occur.
Participate in efforts to strengthen the research computing user community internally and externally, through developing and disseminating whitepapers and best practices documents, developing and delivering training seminars, and representing PACE in national venues including conferences and workshops.
Required Qualifications
Research Scientist I:
Bachelor’s Degree in Computer Science, or related area
Research Scientist II:
A Master’s degree and three (3) years of relevant full-time experience after completion of that degree, or
A Master’s degree and five (5) years of relevant full-time experience after completion of a Bachelor’s degree, or
A Doctoral degree
Final rank will be determined commensurate with education and experience.
Preferred Qualifications
Exposure to standards for data privacy and policy compliance.
An ability to engage with and champion for a highly diverse research computing community at regional, national, and global scale
A demonstrated ability to provide effective technical solutions to highly complex problems in advanced and diverse computing environments
Expert knowledge of current and emerging computational methods, architectures, and technology, current and emerging technologies, and middleware (e.g. MPI stacks, job schedulers, numerical libraries, and data analytics tools)
Exposure to specific technologies often found in research computing environments, such as:
Package installation frameworks (e.g., Spack, Easybuild)
Machine Learning (e.g., TensorFlow, PyTorch)
Apache Hadoop and Hadoop ecosystem relevant tools (Sqoop, Flume, Kafka, Oozie, Zookeeper)
Data analytics tools/platforms such as PowerBI, Tableau, Open XDMoD
Containerization (e.g., Singularity)
Community driven science gateways and associated middleware (e.g., Apache Airavata, Open OnDemand, Globus)
Configuration management and infrastructure-as-code (e.g., Ansible, Terraform)
Research grids and cloud access (e.g., OSG, XSEDE, CloudBank, Chameleon, Jetstream)
Public cloud and associated APIs (e.g., AWS, Azure, OpenStack)
Legacy programming languages such as Fortran and C
Involvement with and contributions to open-source communities
Prior Systems Administration experience, particularly in RedHat Enterprise Linux environments.
Application security implementation experience for both authentication and authorization, including the use of available services for single sign-on, federation (e.g., InCommon), and identity management. An awareness of secure application coding practices is highly desirable.
Company DescriptionLocated in the heart of vibrant Atlanta, Georgia, the Partnership for an Advanced Computing Environment (PACE) team defines and manages centralized research computing services at the Georgia Institute of Technology. We facilitate research efforts and foster strategic partnerships to provide Georgia Tech researchers with an unrivaled advantage, empowering them to lead their disciplines for the advancement of science and society across the globe. In addition to high-performance computing, we incorporate emerging cloud, network, data analytics, and storage technologies. Our rapidly growing team directly supports faculty, students, and other researchers resulting in a dynamic environment filled with intellectual stimulation and continuous innovation. Our offices are in the CODA building, located in midtown Atlanta. Please see codatechsquare.com for further information.
One of the core values of PACE is a commitment to diversity, inclusion, and belonging. From the Georgia Tech Strategic Plan: "We will recruit, develop, retain, and engage a diverse cadre of students, faculty, and staff with a wide variety of backgrounds, perspectives, interests, and talents, creating a campus community that exemplifies the best in all of us - in our intellectual pursuits, our diversity of thought, our personal integrity, and our inclusive excellence."
All PACE positions require U.S. Citizenship or Permanent Residency.
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2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Systems Software Senior Researcher (f/m/d) for HPC-Quantum Hybrid Software Stack
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Leibniz Supercomputing Centre
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Munich, Germany
Hide Details
SessionJob Postings
DescriptionLooking for a place at the cutting-edge of supercomputing to grow your career? Then read on!
The Quantum Computing and Technologies Department (QCT) at LRZ is a team of computer science and quantum physics specialists researching, advancing and providing quantum computing technologies for local and international advanced computing communities. The QCT team provides scientific users with a broad portfolio of quantum resources and services, including quantum simulators, remote access to quantum hardware, on-premise quantum systems, development environment tools, scientific consultancy, and education/training. A main forcus of this team is the research and development of integration pathways for quantum acceleration capabilities for next- generation high-performance computing (HPC) systems. Read more at quantum.lrz.de.
As a member of the LRZ Q-Crew, you're in the driver’s seat developing and providing new tools and methods, working with cutting-edge hardware technologies; and developing the Munich Quantum Software Stack including programming models, OS, compilers and abstraction layers for multiple quantum technologies based on superconducting, neutral and ion qubits. You are pivotal for building unique solutions merging quantum and HPC workflows, advancing the community's research capabilities, and in propelling Bavaria as a global quantum hotspot pushing the boundaries of innovative scientific discoveries achievable with quantum-accelerated computing.
We're actively seeking a few positions for:
HPC Systems Software Senior Researcher (f/m/d) for HPC-Quantum Hybrid Software Stack
We’ll work with you to figure out your specific responsibilities based on your skill set and interests, so tell us what you can do!
Generally, in this position, you:
- Define and execute research around design and evaluation of quantum-HPC software
- Develop a software stack for seamless integration of quantum accelerators into current and next- generation Exascale systems including programming environments, tools, scheduling and virtualization/multi-user tenancy methods
- Write and test code following software development best practices incl. continuous integration
- Engage the Munich Quantum Valley (MQV) developer and user communities to understand and translate their requirements to our software development requirements
- Actively publish on new developments and technical achievements
The Quantum Computing and Technologies Department (QCT) at LRZ is a team of computer science and quantum physics specialists researching, advancing and providing quantum computing technologies for local and international advanced computing communities. The QCT team provides scientific users with a broad portfolio of quantum resources and services, including quantum simulators, remote access to quantum hardware, on-premise quantum systems, development environment tools, scientific consultancy, and education/training. A main forcus of this team is the research and development of integration pathways for quantum acceleration capabilities for next- generation high-performance computing (HPC) systems. Read more at quantum.lrz.de.
As a member of the LRZ Q-Crew, you're in the driver’s seat developing and providing new tools and methods, working with cutting-edge hardware technologies; and developing the Munich Quantum Software Stack including programming models, OS, compilers and abstraction layers for multiple quantum technologies based on superconducting, neutral and ion qubits. You are pivotal for building unique solutions merging quantum and HPC workflows, advancing the community's research capabilities, and in propelling Bavaria as a global quantum hotspot pushing the boundaries of innovative scientific discoveries achievable with quantum-accelerated computing.
We're actively seeking a few positions for:
HPC Systems Software Senior Researcher (f/m/d) for HPC-Quantum Hybrid Software Stack
We’ll work with you to figure out your specific responsibilities based on your skill set and interests, so tell us what you can do!
Generally, in this position, you:
- Define and execute research around design and evaluation of quantum-HPC software
- Develop a software stack for seamless integration of quantum accelerators into current and next- generation Exascale systems including programming environments, tools, scheduling and virtualization/multi-user tenancy methods
- Write and test code following software development best practices incl. continuous integration
- Engage the Munich Quantum Valley (MQV) developer and user communities to understand and translate their requirements to our software development requirements
- Actively publish on new developments and technical achievements
RequirementsSkills you need:
- At least an MS in Computer Science or engineering sciences with 8 years proven experience or PhD and 3+ years experience with research software development
- Experience with HPC environments and developing system software (OS, compilers, runtimes, programming models, etc)
- Solid knowledge of HPC programming models including OpenMP and MPI as well as low-level architectures
- Oral presentation and writing skills in English
- Great team member skills, able to work well with others internally and across institutional boundaries, self-starter spirit and a drive to figure things out when faced with uncertainty
- Quantum computing knowledge is valuable, but not required initially
Company DescriptionWhat can you find with us? Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified. Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital transformation of science, we are traditionally ahead of the game.
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2022-11-15
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
CRNCH/TSO Research Technologist
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Georgia Institute of Technology
·
Atlanta, GA
Hide Details
SessionJob Postings
DescriptionOfficially listed as Job ID 249866 – search in GT Careers Page here
This position is a full-time role based at the Atlanta, Georgia campus with opportunities for hybrid work. This position will support the general research computing efforts for faculty in the School of Computer Science and the Center for Research into Novel Computing Hierarchies (CRNCH), and it is focused on supporting the CRNCH Rogues Gallery testbed. The ideal candidate will have some background in skills related to the deployment and maintenance of HPC resources or novel architectures and would be willing to learn about new and unique technologies including FPGAs, neuromorphic processors, quantum computing software, near-memory accelerators, and smart networking.
Additional Information
To officially apply you will need to attach the documents listed below and submit an application via Georgia Tech’s career website accessible at https://ohr.gatech.edu/careers. The Job ID for this posting is 249866.
This position is a full-time role based at the Atlanta, Georgia campus with opportunities for hybrid work. This position will support the general research computing efforts for faculty in the School of Computer Science and the Center for Research into Novel Computing Hierarchies (CRNCH), and it is focused on supporting the CRNCH Rogues Gallery testbed. The ideal candidate will have some background in skills related to the deployment and maintenance of HPC resources or novel architectures and would be willing to learn about new and unique technologies including FPGAs, neuromorphic processors, quantum computing software, near-memory accelerators, and smart networking.
Additional Information
To officially apply you will need to attach the documents listed below and submit an application via Georgia Tech’s career website accessible at https://ohr.gatech.edu/careers. The Job ID for this posting is 249866.
RequirementsThe Key Job Responsibilities are:
1. Project planning and technical leadership for the School and research groups
– Work with the school chair, senior faculty and staff to develop technology strategy, policy and procedures
– Provide primary point of contact to faculty, staff, students for technical matters relating to research infrastructure
– Work with Research Lab Managers in support of strategic research facilities
– Manage technical problems, requests, projects to assure quick resolution, best practices and excellent customer service.
– Develop and coordinate technical aspects of research grant proposals
– Act as liaison to GT/OIT, other GT units and external research partners with regard to research computing capabilities
– Provide bid and proposal costing for strategic technologies
– Be aware of, and discuss technology trends and new products that could be used to enhance research facilities.
2. Work with the CoC Technology Support Organization (TSO) Research Program Support Group regarding:
– Implementation of CoC technical plans, infrastructure, policies and procedures in research facilities
– Coordinate the provisioning of OIT and TSO services to meet faculty and student needs
– Conduct and enable computing and network research initiatives, overseeing research and development of the necessary technology and infrastructure.
– Participate in campus-wide forums for information exchange, planning, and policy regarding campus research technology initiatives and collaborative projects.
Required Qualifications
Bachelor’s degree in computer science or related field.
Preferred Qualifications
Preferred Experience:
Higher Education experience; experience managing technology in a highly distributed, multi-vendor environment supporting research. Be able to conceptualize immediate and future research technologies. Possess specific knowledge and experience of a wide-range of technologies including: Linux, TCP/IP, network security, storage technologies such as RAID, file sharing protocols, backup/restore processes, novel architectures including GPUs and FPGAs, fluency in multiple programming and scripting languages (e.g. BASH, Python, Perl, etc.). Possess excellent communications skills, the ability to create technical documentation, a strong service orientation, and the ability to work well with other professionals in providing technical solutions in an advanced computing environment. Possess a proven ability to provide leadership, coordination, and assistance of technical personnel.
Company DescriptionCRNCH http://crnch.gatech.edu/
Mission
The Center for Research into Novel Computing Hierarchies spans all disciplines of computing in order to find innovative and new computing hierarchies. We do so by breaking down the traditional barriers between computing’s levels of devices, circuits, architecture, software, and algorithms.
Vision
We will develop and usher in the next era of computing hierarchies in order to restore computing to its historic, exponential performance growth rate.
Research Areas
Quantum and Cryogenic Computing
Neuromorphic Computing
Approximate and Stochastic Computing
Adiabatic and Reversible Computing
Nanotechnology
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2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
AI Solutions Architect
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Georgia Institute of Technology
·
remote eligible
Hide Details
SessionJob Postings
DescriptionProvide advanced and innovative data and technology leadership and support for a research unit. Hold the role of lead subject matter expert regarding delivery of IT and data services in support of research. Define and implement a sustainable and secure data management strategy which meets the needs of researchers and sponsors. Collaborate with professional peers on campus and nationally. This position will interact on a consistent basis with: Faculty, staff, students, postdocs, and unit management. Some supervision is possible (e.g., students or junior staff). Hybrid remote work options are available.
Responsibilities
Provide high-level expertise, advice, and technology leadership; defines and implements the vision and strategy for data management for an AI Institute.
Interact and collaborate with Institute management, multiple research groups across partner organizations, and other stakeholders (e.g., local and external HPC providers).
Define, evaluate, and implement technical IT and data systems, architecture, applications, and services to serve the AI Institute research mission.
Coordinate with other data management efforts on campus to plan for and analyze technology investments; identify common needs among research groups and develop associated solutions, focusing on the collaborative use of resources where possible.
Perform other duties as assigned.
Responsibilities
Provide high-level expertise, advice, and technology leadership; defines and implements the vision and strategy for data management for an AI Institute.
Interact and collaborate with Institute management, multiple research groups across partner organizations, and other stakeholders (e.g., local and external HPC providers).
Define, evaluate, and implement technical IT and data systems, architecture, applications, and services to serve the AI Institute research mission.
Coordinate with other data management efforts on campus to plan for and analyze technology investments; identify common needs among research groups and develop associated solutions, focusing on the collaborative use of resources where possible.
Perform other duties as assigned.
RequirementsResearch Scientist I:
Bachelor’s Degree in Computer Science, or related area
Research Scientist II:
A Master’s degree and three (3) years of relevant full-time experience after completion of that degree, or
A Master’s degree and five (5) years of relevant full-time experience after completion of a Bachelor’s degree, or
A Doctoral degree
Final rank will be determined commensurate with education and experience.
Preferred Qualifications
Knowledge and skill in data acquisition, data management, data integration, and cloud architectures. DevOps and automation tools including software engineering, development experience (e.g., Python), GIT, APIs and container technology. Basic experience with information technology hardware and software at all layers, including high-performance computing and machine learning. Experience with data analysis and visualization. Excellent skills in problem solving, decision making, customer service, system documentation and communications. Expertise with networking, cybersecurity, systems management. Understanding of regulated data controls (e.g., NIST 800-171 and DFARS 7012 compliance).
Company DescriptionAbout PACE:
Located in the heart of vibrant Atlanta, Georgia, the Partnership for an Advanced Computing Environment (PACE) team defines and manages centralized research computing services at the Georgia Institute of Technology. We facilitate research efforts and foster strategic partnerships to provide Georgia Tech researchers with an unrivaled advantage, empowering them to lead their disciplines for the advancement of science and society across the globe. In addition to high-performance computing, we incorporate emerging cloud, network, data analytics, and storage technologies. Our rapidly growing team directly supports faculty, students, and other researchers resulting in a dynamic environment filled with intellectual stimulation and continuous innovation. Our offices are in the CODA building, located in midtown Atlanta. Please see codatechsquare.com for further information.
One of the core values of PACE is a commitment to diversity, inclusion, and belonging. From the Georgia Tech Strategic Plan: "We will recruit, develop, retain, and engage a diverse cadre of students, faculty, and staff with a wide variety of backgrounds, perspectives, interests, and talents, creating a campus community that exemplifies the best in all of us - in our intellectual pursuits, our diversity of thought, our personal integrity, and our inclusive excellence."
All PACE positions require U.S. Citizenship or Permanent Residency.
Note: This position will be hired through the Office of Information Technology’s Partnership for Advanced Computing Environment (PACE), and will systematically report to PACE’s Associate Director of Research Cyberinfrastructure, while functionally reporting to the Director of the AI Institute. The PACE team defines and manages centralized research computing services at the Georgia Institute of Technology. We facilitate research efforts and foster strategic partnerships to provide Georgia Tech researchers with an unrivaled advantage, empowering them to lead their disciplines for the advancement of science and society across the globe. In addition to high-performance computing, we incorporate emerging cloud, network, data analytics, and storage technologies. Our growing team directly supports faculty, students, and other researchers resulting in a dynamic environment filled with intellectual stimulation and continuous innovation.
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·
2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Systems Software Engineer (f/m/d) for HPC-Quantum Hybrid Software Stack
·
Leibniz Supercomputing Centre
·
Munich, Germany
Hide Details
SessionJob Postings
DescriptionLooking for a place at the cutting-edge of supercomputing to grow your career? Then read on!
The Quantum Computing and Technologies Department (QCT) at LRZ is a team of computer science and quantum physics specialists researching, advancing and providing quantum computing technologies for local and international advanced computing communities. The QCT team provides scientific users with a broad portfolio of quantum resources and services, including quantum simulators, remote access to quantum hardware, on-premise quantum systems, development environment tools, scientific consultancy, and education/training. A main focus of this team is the research and development of integration pathways for quantum acceleration capabilities for next- generation high-performance computing (HPC) systems. Read more at quantum.lrz.de.
As a member of the LRZ Q-Crew, you're in the driver’s seat developing and providing new tools and methods, working with cutting-edge hardware technologies; and developing the Munich Quantum Software Stack – including programming models, OS, compilers and abstraction layers – for multiple quantum technologies based on superconducting, neutral and ion qubits integrated into next-gen HPC systems. You are pivotal for building unique solutions merging quantum and HPC workflows, advancing the community's research capabilities, and in propelling Bavaria as a global quantum hotspot pushing the boundaries of innovative scientific discoveries achievable with quantum-accelerated computing.
We're actively seeking a few positions for:
HPC Systems Software Engineer (f/m/d) for HPC-Quantum Hybrid Software Stack
We’ll work with you to figure out your specific responsibilities based on your skill set and interests, so tell us what you can do!
Generally, in this position, you:
- Develop a software stack for seamless integration of quantum accelerators into current and next- generation Exascale systems
- Make quantum computing practical and accessible by developing programming environments, tools, scheduling and virtualization/multi-user tenancy methods
- Write, review, and test code following software development best practices including continuous integration
- Engage the Munich Quantum Valley (MQV) developer and user communities to understand and translate their requirements to our software development requirements
The Quantum Computing and Technologies Department (QCT) at LRZ is a team of computer science and quantum physics specialists researching, advancing and providing quantum computing technologies for local and international advanced computing communities. The QCT team provides scientific users with a broad portfolio of quantum resources and services, including quantum simulators, remote access to quantum hardware, on-premise quantum systems, development environment tools, scientific consultancy, and education/training. A main focus of this team is the research and development of integration pathways for quantum acceleration capabilities for next- generation high-performance computing (HPC) systems. Read more at quantum.lrz.de.
As a member of the LRZ Q-Crew, you're in the driver’s seat developing and providing new tools and methods, working with cutting-edge hardware technologies; and developing the Munich Quantum Software Stack – including programming models, OS, compilers and abstraction layers – for multiple quantum technologies based on superconducting, neutral and ion qubits integrated into next-gen HPC systems. You are pivotal for building unique solutions merging quantum and HPC workflows, advancing the community's research capabilities, and in propelling Bavaria as a global quantum hotspot pushing the boundaries of innovative scientific discoveries achievable with quantum-accelerated computing.
We're actively seeking a few positions for:
HPC Systems Software Engineer (f/m/d) for HPC-Quantum Hybrid Software Stack
We’ll work with you to figure out your specific responsibilities based on your skill set and interests, so tell us what you can do!
Generally, in this position, you:
- Develop a software stack for seamless integration of quantum accelerators into current and next- generation Exascale systems
- Make quantum computing practical and accessible by developing programming environments, tools, scheduling and virtualization/multi-user tenancy methods
- Write, review, and test code following software development best practices including continuous integration
- Engage the Munich Quantum Valley (MQV) developer and user communities to understand and translate their requirements to our software development requirements
RequirementsSkills you need:
- At least a BS in Computer Science and 3+ years proven experience as a software developer
- Experience with HPC environments and developing system software for parallel codes (OS, compilers, runtimes, etc)
- Solid knowledge of programming models including OpenMP and MPI as well as low-level architectures
- Proficiency in English
- Great team member skills, able to work very well with others, self-starter spirit and a drive to figure things out when faced with uncertainty
- Quantum computing knowledge is valuable, but not required initially
Company DescriptionWhat can you find with us? Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified. Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital transformation of science, we are traditionally ahead of the game.
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·
2022-11-15
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Systems Software Researcher (f/m/d) for HPC-Quantum Hybrid Software Stack
·
Leibniz Supercomputing Centre
·
Munich, Germany
Hide Details
SessionJob Postings
DescriptionLooking for a place at the cutting-edge of supercomputing to grow your career? Then read on!
The Quantum Computing and Technologies Department (QCT) at LRZ is a team of computer science and quantum physics specialists researching, advancing and providing quantum computing technologies for local and international advanced computing communities. The QCT team provides scientific users with a broad portfolio of quantum resources and services, including quantum simulators, remote access to quantum hardware, on-premise quantum systems, development environment tools, scientific consultancy, and education/training. A main forcus of this team is the research and development of integration pathways for quantum acceleration capabilities for next- generation high-performance computing (HPC) systems. Read more at quantum.lrz.de.
As a member of the LRZ Q-Crew, you're in the driver’s seat developing and providing new tools and methods, working with cutting-edge hardware technologies; and developing the Munich Quantum Software Stack including programming models, OS, compilers and abstraction layers for multiple quantum technologies based on superconducting, neutral and ion qubits. You are pivotal for building unique solutions merging quantum and HPC workflows, advancing the community's research capabilities, and in propelling Bavaria as a global quantum hotspot pushing the boundaries of innovative scientific discoveries achievable with quantum-accelerated computing.
We're actively seeking a few positions for:
HPC Systems Software Researcher (f/m/d) for HPC-Quantum Hybrid Software Stack
We’ll work with you to figure out your specific responsibilities based on your skill set and interests, so tell us what you can do!
Generally, in this position, you:
- Define and execute research around design and evaluation of quantum-HPC software
- Develop a software stack for seamless integration of quantum accelerators into current and next- generation Exascale systems including programming environments, tools, scheduling and virtualization/multi-user tenancy methods
- Write and test code following software development best practices incl. continuous integration
- Engage the Munich Quantum Valley (MQV) developer and user communities to understand and translate their requirements to our software development requirements
- Actively publish on new developments and technical achievements
The Quantum Computing and Technologies Department (QCT) at LRZ is a team of computer science and quantum physics specialists researching, advancing and providing quantum computing technologies for local and international advanced computing communities. The QCT team provides scientific users with a broad portfolio of quantum resources and services, including quantum simulators, remote access to quantum hardware, on-premise quantum systems, development environment tools, scientific consultancy, and education/training. A main forcus of this team is the research and development of integration pathways for quantum acceleration capabilities for next- generation high-performance computing (HPC) systems. Read more at quantum.lrz.de.
As a member of the LRZ Q-Crew, you're in the driver’s seat developing and providing new tools and methods, working with cutting-edge hardware technologies; and developing the Munich Quantum Software Stack including programming models, OS, compilers and abstraction layers for multiple quantum technologies based on superconducting, neutral and ion qubits. You are pivotal for building unique solutions merging quantum and HPC workflows, advancing the community's research capabilities, and in propelling Bavaria as a global quantum hotspot pushing the boundaries of innovative scientific discoveries achievable with quantum-accelerated computing.
We're actively seeking a few positions for:
HPC Systems Software Researcher (f/m/d) for HPC-Quantum Hybrid Software Stack
We’ll work with you to figure out your specific responsibilities based on your skill set and interests, so tell us what you can do!
Generally, in this position, you:
- Define and execute research around design and evaluation of quantum-HPC software
- Develop a software stack for seamless integration of quantum accelerators into current and next- generation Exascale systems including programming environments, tools, scheduling and virtualization/multi-user tenancy methods
- Write and test code following software development best practices incl. continuous integration
- Engage the Munich Quantum Valley (MQV) developer and user communities to understand and translate their requirements to our software development requirements
- Actively publish on new developments and technical achievements
RequirementsSkills you need:
- At least an MS in Computer Science or engineering sciences and 3+ years proven experience with software development, or equivalent experience
- Experience with HPC environments and developing system software (OS, compilers, runtimes, programming models, etc)
- Solid knowledge of HPC programming models including OpenMP and MPI as well as low-level architectures
- Oral presentation and writing skills in English
- Great team member skills, able to work well with others internally and across institutional boundaries, self-starter spirit and a drive to figure things out when faced with uncertainty
- Quantum computing knowledge is valuable, but not required initially
Company DescriptionWhat can you find with us? Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified. Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital transformation of science, we are traditionally ahead of the game.
·
·
2022-11-15
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Sr Software Engineer (Raptor Simulation)
·
Space Exploration Technologies, Corp
·
Hawthorne
Hide Details
SessionJob Postings
DescriptionWe’re looking for a strong software developer with skills in performance engineering and design.
The goal of the SpaceX combustion modeling team is to develop first-in-class combustion simulation software to optimize and significantly reduce the development time of the Raptor rocket engine. Work with brilliant, passionate engineers, software developers, and analysts to develop unprecedented simulation capabilities that directly support the rapid design of the most cutting-edge engines in the world. We have no shortage of hard problems and challenges.
Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard software problems and want to make a direct impact on a super inspiring mission.
RESPONSIBILITIES:
* Seek out, evaluate, and implement state-of-the-art features on multi-core and GPU hardware that extend simulation capabilities and improve the performance, as motivated by an aggressive rocket development program
* Develop and maintain a massively parallel, high performance combustion simulation software
* Collaborate with combustion analysts and computational physicists to develop advanced simulation tools that accelerate engine design
* Extend and improve interoperability among existing tools
* Support all aspects of software development as a member of a cross-functional team
* Maintain highest standards of excellence, never settling for the status quo, with a focus on getting to Mars
The goal of the SpaceX combustion modeling team is to develop first-in-class combustion simulation software to optimize and significantly reduce the development time of the Raptor rocket engine. Work with brilliant, passionate engineers, software developers, and analysts to develop unprecedented simulation capabilities that directly support the rapid design of the most cutting-edge engines in the world. We have no shortage of hard problems and challenges.
Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard software problems and want to make a direct impact on a super inspiring mission.
RESPONSIBILITIES:
* Seek out, evaluate, and implement state-of-the-art features on multi-core and GPU hardware that extend simulation capabilities and improve the performance, as motivated by an aggressive rocket development program
* Develop and maintain a massively parallel, high performance combustion simulation software
* Collaborate with combustion analysts and computational physicists to develop advanced simulation tools that accelerate engine design
* Extend and improve interoperability among existing tools
* Support all aspects of software development as a member of a cross-functional team
* Maintain highest standards of excellence, never settling for the status quo, with a focus on getting to Mars
RequirementsBASIC QUALIFICATIONS:
* Bachelor’s degree in computer science, engineering, math, or science discipline
* 5+ years of software development experience in C++
* 2+ years of experience in software architecture/design
PREFERRED SKILLS AND EXPERIENCE:
* Experience developing highly efficient concurrent/parallel applications and algorithms (e.g. threading, MPI, CUDA)
* Experience working with a team on at least one large (>100,000 lines) software project
* Experience with object-oriented software design and functional programing
* Deep understanding of distributed, horizontally scalable systems
* Strong skills with debuggers, performance optimization, and unit testing
* Familiar with Agile software development techniques, particularly test-driven development, and continuous integration
* Background in physics-based simulation, scientific computing, high-performance computing, or mathematics
* Basic understanding of fluid mechanics
ADDITIONAL REQUIREMENTS:
* Willing to travel in support of launching and testing of hardware
* Willing to work extended hours and weekends as needed
ITAR REQUIREMENTS:
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Company DescriptionSpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
·
·
2022-11-15
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Lead Software Engineer
·
Georgia Institute of Technology
·
Atlanta, GA
Hide Details
SessionJob Postings
DescriptionResponsibilities:
Manage the software engineering center in collaboration with the center directors, by providing operational and institutional direction.
Help recruit a group of senior and junior software engineers focused on developing and maintaining scientific software systems.
Build software solutions by overseeing the day-to-day operations of the center, assigning tasks to the engineers with the goal of optimizing both productivity and learning, and making sure that junior team members receive appropriate training and mentoring.
Create an inclusive work environment where every employee wants to be part of the team and can effectively engage.
Interact on a regular basis with the center director and other stakeholders.
Help with the preparation of reports and presentations on the activities of the center.
Manage the software engineering center in collaboration with the center directors, by providing operational and institutional direction.
Help recruit a group of senior and junior software engineers focused on developing and maintaining scientific software systems.
Build software solutions by overseeing the day-to-day operations of the center, assigning tasks to the engineers with the goal of optimizing both productivity and learning, and making sure that junior team members receive appropriate training and mentoring.
Create an inclusive work environment where every employee wants to be part of the team and can effectively engage.
Interact on a regular basis with the center director and other stakeholders.
Help with the preparation of reports and presentations on the activities of the center.
Requirements10+ years of experience as a practicing software engineer.
5+ years of experience as a technical lead, including mentoring and growing junior software engineers.
MSCS or higher degree.
Ability to build, deploy, and maintain highly scalable, robust, and reusable software using modern software engineering practices and tools, including automated provisioning and CI/CD.
Experience with the development of scientific software (e.g., scientific models and simulations).
Ability to read, understand, and implement concepts from scientific publications and/or advanced degree in Computer Science/Math/Physics.
Ability to interact with different kinds of stakeholders, including scientists, other developers, and possibly university faculty and staff.
Experience consuming and contributing to open-source software projects is highly desirable.
Company DescriptionThe Scientific Software Engineering (SSE) Center at Georgia Tech, one of the four inaugural VISS Centers, aims to support the development of better quality, more sustainable scientific software. To achieve this goal, the Center will (1) give scientific researchers access to full-time professional engineers and state-of-the-art technology and techniques, such as high-end computing and storage resources, (2) support long-term scientific platforms and systems, and (3) encourage best practices in open science.
The SSE Center is building a team and is looking for professional software engineers at different levels of seniority who are excited about working in a highly dynamic and research-oriented development environment and can join us to help us achieve our goals. Experience with modern software engineering practices and tools, such as automated provisioning and CI/CD, is required, as well as the ability to work well in a team. An understanding of scientific software development and experience with open-source software are highly desirable.
In addition to receiving a competitive salary, the engineers will also be considered as either professors of the practice or adjunct faculty members of the College of Computing, depending on their level of seniority and degree. Furthermore, they will work with and get access to the Georgia Tech ecosystems, will be involved in exciting and highly visible research projects at the forefront of technology, and will have the option of teaching classes or being guest lecturers and mentoring students.
We have the following openings:
Lead Software Engineer
Senior Software Engineer
Software Engineer
We provide details about the different positions below. If interested to learn more about the position and have an initial discussion with the directors, please submit (1) a CV and (2) a short statement of interest that clearly states in which position you are interested and why you believe you are a good fit for the position. Please submit the documents by email to ssecenter@cc.gatech.edu.
Note that you can also directly apply via the GT Careers website using the External Applicants link and searching for the position numbers below. Internal candidates can search for the openings using OneUSG Connect and the Recruiting Self Service page. You will need to upload the following documents.
CV
Statement of interest/cover letter
Names and contact information for at least 3 references. Note that references are only contacted later in the process, and we will respect candidate’s wishes for discretion.
·
·
2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Scientific Research Assistant (m/f/d)
·
Leibniz Supercomputing Centre
·
Munich, Germany
Hide Details
SessionJob Postings
DescriptionThe usage of smart network cards and smart network switches is a recent trend used in the IT industry. Network components are getting programmable and they can take over compute and control tasks. The German BMBF funded project ScalNEXT (“Optimierung des Datenmanagements und des Kontrollflusses von Rechenknoten für Supercomputing“) will study the opportunities and benefits of smart network devices for HPC. As part of this research, LRZ is participating in development of interfaces and fitting extensions of parallel programming models (MPI, Task-based runtimes), and it will focus on the evaluation of proposed concepts, both using existing HPC hardware as well as modelling benefits for larger node counts. For this, LRZ is looking for a
Scientific Research Assistant
You are looking for doing research at one of the largest German Supercomputing Centers? Join us!
Your Role:
Work with smart NICs (two types: Nvidia BlueField DPUs with Infiniband and FPGA-based with 100Gb/s Ethernet) and smart Switches (BareFoot),
Define interfaces and do prototype extensions for communication runtimes (MPI, Task-based models) in tight collaboration with project partners,
Select and work with simulators to get projections of developed ideas for large-scale systems, calibrating model parameters from analyzing existing hardware and example applications,
Disseminate your findings in peer-reviewed publications and present them at national and international conferences.
The ScalNEXT project is a collaboration of LRZ with TUM (Technical University of Munich), JGU (Johannes Gutenberg-Universität) Mainz, KIT (Karlsruhe Institute of Technology), RWTH Aachen, and APS Networks.
Scientific Research Assistant
You are looking for doing research at one of the largest German Supercomputing Centers? Join us!
Your Role:
Work with smart NICs (two types: Nvidia BlueField DPUs with Infiniband and FPGA-based with 100Gb/s Ethernet) and smart Switches (BareFoot),
Define interfaces and do prototype extensions for communication runtimes (MPI, Task-based models) in tight collaboration with project partners,
Select and work with simulators to get projections of developed ideas for large-scale systems, calibrating model parameters from analyzing existing hardware and example applications,
Disseminate your findings in peer-reviewed publications and present them at national and international conferences.
The ScalNEXT project is a collaboration of LRZ with TUM (Technical University of Munich), JGU (Johannes Gutenberg-Universität) Mainz, KIT (Karlsruhe Institute of Technology), RWTH Aachen, and APS Networks.
RequirementsBasic Qualifications:
Master or PhD in Computer Science or similar field
Knowledge in Concepts and Usage of Parallel Programming Models (MPI, OpenMP) with C or C++
Good understanding of hardware components used in HPC (multicore CPUs, GPUs, networks used in HPC)
Interest in working on low-level software layers interacting with HPC hardware
Interest in experimenting with new ideas and work with other people to come up with novel and unconventional solutions
Ability to share results clearly in publications and engagement in enlarging your network in the HPC community at conferences
Interest in supporting the “Future Computing” research team at LRZ working on the evaluation of new architectures
Preferred Qualifications:
Experience in FPGA programming
Published peer-reviewed scientific papers in HPC
Interest in advising student works
Experience with performance analysis tools and typical optimization strategies in HPC codes
Company DescriptionWhat can you find with us? Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified. Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital transformation of science, we are traditionally ahead of the game.
·
·
2022-11-15
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Sr. Propulsion Software Engineer (combustion Modeling)
·
Space Exploration Technologies, Corp
·
Hawthorne
Hide Details
SessionJob Postings
DescriptionThe goal of the SpaceX combustion modeling development team is to develop first-in-class combustion simulation software that can optimize and significantly reduce the development time of the Raptor rocket engine. Work with brilliant, passionate engineers, software developers, and analysts to develop unprecedented simulation capabilities that support the rapid design of the most cutting-edge engines in the world. We have no shortage of hard problems and challenges.
RESPONSIBILITIES:
* Develop and maintain a massively parallel, high performance combustion simulation software
* Collaborate with combustion analysts and computational physicists to develop advanced simulation tools that accelerate engine design
* Extend and improve interoperability among existing tools
* Seek out, evaluate, and implement state-of-the-art features on multi-core and GPU hardware that extend simulation capabilities and improve the performance, as motivated by an aggressive engine development program
* Support all aspects of software development as a member of a cross-functional team
* Maintain highest standards of excellence, never settling for the status quo, with a focus on getting to Mars
RESPONSIBILITIES:
* Develop and maintain a massively parallel, high performance combustion simulation software
* Collaborate with combustion analysts and computational physicists to develop advanced simulation tools that accelerate engine design
* Extend and improve interoperability among existing tools
* Seek out, evaluate, and implement state-of-the-art features on multi-core and GPU hardware that extend simulation capabilities and improve the performance, as motivated by an aggressive engine development program
* Support all aspects of software development as a member of a cross-functional team
* Maintain highest standards of excellence, never settling for the status quo, with a focus on getting to Mars
RequirementsBASIC QUALIFICATIONS:
* Bachelor’s degree in computer science or an engineering discipline
* 5+ years of software development experience in C++
* 2+ years of experience in software architecture/design
PREFERRED SKILLS AND EXPERIENCE:
* Master’s degree in computer science or an engineering discipline
* Experience developing concurrent applications (e.g. threading, MPI, CUDA)
* Experience working with a team on at least one large (>100,000 lines) software project
* Experience with object-oriented software design and functional programing
* Background in scientific computing, high-performance computing, or mathematics
* Basic understanding of fluid mechanics
* Strong skills with debuggers, performance optimization, and unit testing
* Familiar with Agile software development techniques, particularly Test-Driven Development, and Continuous Integration
* Deep understanding of distributed horizontally scalable systems
* Experience developing user-facing software
ADDITIONAL REQUIREMENTS:
* Willing to travel in support of launching and testing of hardware
* Willing to work extended hours and weekends as needed
ITAR REQUIREMENTS:
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Company DescriptionSpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
·
·
2022-11-15
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Systems/IT Architect Lead
·
Georgia Institute of Technology
·
Atlanta, GA
Hide Details
SessionJob Postings
DescriptionProvide technical leadership in supplying advanced level IT support services to units or on campus wide basis. Services provided involve conceptualizing, planning, designing and implementing complete and integrated information technology solutions that meet business needs and support long term goals. Use advanced IT architecture concepts to resolve highly complex issues. This position will interact on a consistent basis with: user department managers and staff, IT management and professional staff, vendors and contractors. This position typically will advise and counsel: user department managers and staff, IT professional staff, vendors and contractors. This position will supervise: NA (work direction only).
RequirementsJob Duties:
1) Analyze and develop solutions for complex departmental or campus wide business issues
2) Lead design and implementation of IT systems that address departmental and/or campus wide needs.
3) Research and prototype emerging technologies; utilize where applicable in addressing campus IT needs.
4) Promote use of campus information technology standards.
5) May formulate strategies and administer policies, process and resources.
6) Manage and direct efforts of technical teams formed to address specific IT issues.
7) Maintain ongoing awareness of department or campus wide business needs and long term goals.
Required Qualifications
Educational Requirements
Bachelor's Degree in Computer Science, Information Technology or related Field or equivalent combination of education and experience
Master's Degree preferred
Other Required Qualifications
Overnight travel required for project delivery; flexibility in on-site daily service delivery hours (due to client shift schedules, project requirements).
Required Experience
Six to eight years of job related experience
Preferred Qualifications
SKILLS
This job requires broad knowledge of IT systems management, infrastructure and architectural design and integration and related components and applications. Expertise is required in IT service delivery methodology and techniques, industry practices and campus policies and procedures.
Company DescriptionLocated in the heart of vibrant Atlanta, Georgia, the Partnership for an Advanced Computing Environment (PACE) team defines and manages centralized research computing services at the Georgia Institute of Technology. We facilitate research efforts and foster strategic partnerships to provide Georgia Tech researchers with an unrivaled advantage, empowering them to lead their disciplines for the advancement of science and society across the globe. In addition to high-performance computing, we incorporate emerging cloud, network, data analytics, and storage technologies. Our rapidly growing team directly supports faculty, students, and other researchers resulting in a dynamic environment filled with intellectual stimulation and continuous innovation. Our offices are in the CODA building, located in midtown Atlanta. Please see codatechsquare.com for further information.
One of the core values of PACE is a commitment to diversity, inclusion, and belonging. From the Georgia Tech Strategic Plan: "We will recruit, develop, retain, and engage a diverse cadre of students, faculty, and staff with a wide variety of backgrounds, perspectives, interests, and talents, creating a campus community that exemplifies the best in all of us - in our intellectual pursuits, our diversity of thought, our personal integrity, and our inclusive excellence."
·
·
2022-11-14
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Grant / Technical Project Manager, Quantum Program (f/m/d)
·
Leibniz Supercomputing Centre
·
Munich, Germany
Hide Details
SessionJob Postings
DescriptionLooking for a place at the cutting-edge of supercomputing to grow your career? Then read on!
The Quantum Computing and Technologies Department (QCT) at LRZ is a team of computer science and quantum physics specialists researching, advancing and providing quantum computing technologies for local and international advanced computing communities. The QCT team provides scientific users with a broad portfolio of quantum resources and services, including quantum simulators, remote access to quantum hardware, on-premise quantum systems, development environment tools, scientific consultancy, and education/training. A main focus of this team is the research and development of integration pathways for quantum acceleration capabilities for next-generation high-performance computing (HPC) systems. Read more at quantum.lrz.de.
We're actively seeking a:
Grant / Technical Project Manager, Quantum Program (f/m/d)
As the Grant / Technical Project Manager (GTPM), you’ll assist the department head in the management of an extensive third-party R&D project portfolio in the QCT department consisting of state, federal and European projects. Your work will ensure correct and efficient use of funds and completion of milestones and deliverables. This is a quick-paced, multi-faceted position dealing with often changing timelines and priorities. Agility and comfort with pivoting, exceptional attention to detail, thoroughness, anticipation of needs, and commitment to representing LRZ professionally are paramount to success. Your efforts help keep us in a leadership position as a world-class computing center delivering first-of-kind results with quantum computing.
Your Responsibilities
- Track projects and provide updates on consistently for strategy alignment, adjustments, and progress
- Collect input and generate draft project reports for review
- Externally, liaise with project funders to ensure accuracy and efficiency of communications and actions and project management level of strategic vendor and project partners.
- Internally, liaise with the finance department and HR stakeholders to ensure efficiency of process and communication. Cross-check finance reports from finance department with internal team activity
- Lead coordination on grant writing and procurements, organizing technical staff contributions
- Coordinate information, including ensuring centralized and up-to-date documentation
- Utilize industry best practices, techniques, quality control and standards throughout entire project
- Spearhead special projects and assist in other duties as needed for the success of the mission
The Quantum Computing and Technologies Department (QCT) at LRZ is a team of computer science and quantum physics specialists researching, advancing and providing quantum computing technologies for local and international advanced computing communities. The QCT team provides scientific users with a broad portfolio of quantum resources and services, including quantum simulators, remote access to quantum hardware, on-premise quantum systems, development environment tools, scientific consultancy, and education/training. A main focus of this team is the research and development of integration pathways for quantum acceleration capabilities for next-generation high-performance computing (HPC) systems. Read more at quantum.lrz.de.
We're actively seeking a:
Grant / Technical Project Manager, Quantum Program (f/m/d)
As the Grant / Technical Project Manager (GTPM), you’ll assist the department head in the management of an extensive third-party R&D project portfolio in the QCT department consisting of state, federal and European projects. Your work will ensure correct and efficient use of funds and completion of milestones and deliverables. This is a quick-paced, multi-faceted position dealing with often changing timelines and priorities. Agility and comfort with pivoting, exceptional attention to detail, thoroughness, anticipation of needs, and commitment to representing LRZ professionally are paramount to success. Your efforts help keep us in a leadership position as a world-class computing center delivering first-of-kind results with quantum computing.
Your Responsibilities
- Track projects and provide updates on consistently for strategy alignment, adjustments, and progress
- Collect input and generate draft project reports for review
- Externally, liaise with project funders to ensure accuracy and efficiency of communications and actions and project management level of strategic vendor and project partners.
- Internally, liaise with the finance department and HR stakeholders to ensure efficiency of process and communication. Cross-check finance reports from finance department with internal team activity
- Lead coordination on grant writing and procurements, organizing technical staff contributions
- Coordinate information, including ensuring centralized and up-to-date documentation
- Utilize industry best practices, techniques, quality control and standards throughout entire project
- Spearhead special projects and assist in other duties as needed for the success of the mission
RequirementsBasic Qualifications
- 3+ years experience project managing complex, large-scale federal or European projects
- Experience writing public research grants
- A Master's or higher degree in the natural or engineering sciences
- Knowledge of various project management methodologies (e.g., agile/scrum)
- Experience using wiki and project management tools (Confluence, Jira, Trello, Airtable, etc)
- Excellent analytical skills and proven ability to solve problems
- Exceptional communication and collaboration skills with special emphasis on centralized information approach and storage
- Excellent written and spoken English and German
- Ability to maintain effective, professional relationships with internal and external customers
- Friendly, collegial, and positive personality with a strong drive to roll up your sleeves, get involved, and get things done.
What would set you apart:
- Experience and/or education in quantum computing and technologies, HPC and AI
- Proficiency with LaTeX
- Certifications in project management (PMP, Prince, etc)
- Deep understanding of Bavarian, German and European procurement regualtions
Company DescriptionWhat can you find with us? Are you looking for a multifaceted and intellectually stimulating position in a dynamic, cooperative and innovative work environment? Then LRZ is the place to be for you! Here at LRZ a collegial, appreciative work environment meets an international crowd of experts who work together to advance IT services for ground-breaking research. We offer flexible work schemes for an optimal work-life balance. Our staff values their creative leeway. As an institute of the Bavarian Academy of Science and Humanities we offer all the benefits of public service. And of course, no wishes remain unfulfilled at the LRZ in terms of technical equipment. We share experiences, constantly review and improve our processes, and are proud that our service-quality and data-security are regularly certified and rated highly. We actively promote diversity and welcome applications from talented individuals, regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. We give priority to applications from people with disabilities who are equally qualified. Since 1962, Bavarian universities and research institutions have relied on the IT expertise of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities. When it comes to the digital transformation of science, we are traditionally ahead of the game.
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2022-11-16
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Computational Science Intern
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BioHPC - UT Southwestern Medical Center
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Dallas, Hybrid
Hide Details
SessionJob Postings
DescriptionAre you a:
--User of HPC systems with a background in biomedical or basic science research and want to transition into the HPC side of enabling new discoveries?
--Computer scientist or engineer with a focus on HPC-specific innovation and research?
--Programmer with Linux experience on multiple platforms or have strong C++ skills?
--Student or recent graduate and want to broaden your skills to include HPC expertise?
The BioHPC at UT Southwestern Medical Center is recruiting for full-time positions and internships across a wide range of skills and experience. The BioHPC operates with a “flat” organizational structure that strives to foster a community of peer Computational Scientists. Job duties vary by skills specialization and team members may function as a generalist or as a subject matter expert. You will find ample opportunities to explore different systems, applications, provide training and education, work on diverse research projects, and to function as project manager of specific initiatives so that you experience intellectual stimulation and professional growth throughout your career with the BioHPC.
*The positions with BioHPC are not traditional bioinformatics or data analysis roles. Instead, they focus on providing an infrastructure for scientific computing in biomedical and clinical research areas.
--User of HPC systems with a background in biomedical or basic science research and want to transition into the HPC side of enabling new discoveries?
--Computer scientist or engineer with a focus on HPC-specific innovation and research?
--Programmer with Linux experience on multiple platforms or have strong C++ skills?
--Student or recent graduate and want to broaden your skills to include HPC expertise?
The BioHPC at UT Southwestern Medical Center is recruiting for full-time positions and internships across a wide range of skills and experience. The BioHPC operates with a “flat” organizational structure that strives to foster a community of peer Computational Scientists. Job duties vary by skills specialization and team members may function as a generalist or as a subject matter expert. You will find ample opportunities to explore different systems, applications, provide training and education, work on diverse research projects, and to function as project manager of specific initiatives so that you experience intellectual stimulation and professional growth throughout your career with the BioHPC.
*The positions with BioHPC are not traditional bioinformatics or data analysis roles. Instead, they focus on providing an infrastructure for scientific computing in biomedical and clinical research areas.
Company DescriptionAbout the BioHPC
The mission of the Biomedical High Performance Computing team (BioHPC) is to lower the entry barrier for scientific computing in a premiere medical center for our user group comprised of over 2,000 scientists from biomedical and clinical departments with 250 "hot" users per month. UT Southwestern Medical Center is ranked the #1 health care institution globally by Nature Index for publishing high-quality research in “all subjects” and “all life sciences”. The medical center is also home to seven Nobel Laureates and their research discoveries. The BioHPC empowers scientific computing to advance these transformative biomedical discoveries.
Our Compute Environment
--Nucleus: Two-site cluster of 800 GPU and CPU compute nodes with cutting-edge HPC technologies
--50PB high-throughput parallel storage systems
--High-speed RDMA-based cross site interconnect
--InfiniBand network with fat-tree topology
--BioHPC Portal: Web gateway to Nucleus with OnDemand web applications
--Lamella: BioHPC Cloud storage gateway
--Astrocyte: Workflow platform that requires no HPC knowledge
Thanks for visiting us at SC22! To receive future job updates, event invitations and occasional newsletters (~2-3 times a year) please click the Subscribe button at: https://www.biohpc.work/careers.
Questions? Contact Rebekah Craig at Bioinformatics@UTSouthwestern.edu.
·
·
2022-11-16
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
HPC Computational Scientist, Workflow Architect, Scientific Programmer, HPC Systems Architect
·
BioHPC - UT Southwestern Medical Center
·
Dallas, Hybrid
Hide Details
SessionJob Postings
DescriptionAre you a:
--User of HPC systems with a background in biomedical or basic science research and want to transition into the HPC side of enabling new discoveries?
--Computer scientist or engineer with a focus on HPC-specific innovation and research?
--Programmer with Linux experience on multiple platforms or have strong C++ skills?
--Student or recent graduate and want to broaden your skills to include HPC expertise?
The BioHPC at UT Southwestern Medical Center is recruiting for full-time positions and internships across a wide range of skills and experience. The BioHPC operates with a “flat” organizational structure that strives to foster a community of peer Computational Scientists. Job duties vary by skills specialization and team members may function as a generalist or as a subject matter expert. You will find ample opportunities to explore different systems, applications, provide training and education, work on diverse research projects, and to function as project manager of specific initiatives so that you experience intellectual stimulation and professional growth throughout your career with the BioHPC.
*The positions with BioHPC are not traditional bioinformatics or data analysis roles. Instead, they focus on providing an infrastructure for scientific computing in biomedical and clinical research areas.
--User of HPC systems with a background in biomedical or basic science research and want to transition into the HPC side of enabling new discoveries?
--Computer scientist or engineer with a focus on HPC-specific innovation and research?
--Programmer with Linux experience on multiple platforms or have strong C++ skills?
--Student or recent graduate and want to broaden your skills to include HPC expertise?
The BioHPC at UT Southwestern Medical Center is recruiting for full-time positions and internships across a wide range of skills and experience. The BioHPC operates with a “flat” organizational structure that strives to foster a community of peer Computational Scientists. Job duties vary by skills specialization and team members may function as a generalist or as a subject matter expert. You will find ample opportunities to explore different systems, applications, provide training and education, work on diverse research projects, and to function as project manager of specific initiatives so that you experience intellectual stimulation and professional growth throughout your career with the BioHPC.
*The positions with BioHPC are not traditional bioinformatics or data analysis roles. Instead, they focus on providing an infrastructure for scientific computing in biomedical and clinical research areas.
Company DescriptionAbout the BioHPC
The mission of the Biomedical High Performance Computing team (BioHPC) is to lower the entry barrier for scientific computing in a premiere medical center for our user group comprised of over 2,000 scientists from biomedical and clinical departments with 250 "hot" users per month. UT Southwestern Medical Center is ranked the #1 health care institution globally by Nature Index for publishing high-quality research in “all subjects” and “all life sciences”. The medical center is also home to seven Nobel Laureates and their research discoveries. The BioHPC empowers scientific computing to advance these transformative biomedical discoveries.
Our Compute Environment
--Nucleus: Two-site cluster of 800 GPU and CPU compute nodes with cutting-edge HPC technologies
--50PB high-throughput parallel storage systems
--High-speed RDMA-based cross site interconnect
--InfiniBand network with fat-tree topology
--BioHPC Portal: Web gateway to Nucleus with OnDemand web applications
--Lamella: BioHPC Cloud storage gateway
--Astrocyte: Workflow platform that requires no HPC knowledge
Thanks for visiting us at SC22! To receive future job updates, event invitations and occasional newsletters (~2-3 times a year) please click the Subscribe button at: https://www.biohpc.work/careers.
Questions? Contact Rebekah Craig at Bioinformatics@UTSouthwestern.edu.
·
·
2022-11-16
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location