Wednesday, 16 November 2022 10am-3pm
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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
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
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HPC Systems Scientist
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Oak Ridge National Laboratory
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Oak Ridge, TN
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
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Research Scientist – Computational Fluid Dynamics on Exascale Architectures
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NASA Langley Research Center
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Hampton, VA
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
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Hpc Hardware Engineer
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Tactical Computing Laboratories
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Remote
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
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Software Intern for Enterprise IOT and Data Science
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KLA
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Milpitas, California
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
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Hpc Simulation Developer
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Tactical Computing Laboratories
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Remote
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
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Software Engineers (f/m/d) in High Performance Computing
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Leibniz Supercomputing Centre
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Munich, Germany
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
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Postdoctoral Appointee - AI for Science
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Argonne National Laboratory
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Lemont, Illinois
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
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HPC Software Engineer, Machine Learning (AI) Engineer, Software Engineer, Data Scientist
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Lockheed Martin
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Varies
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
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Intern - Computer Science Research Institute (CSRI) - R&D Graduate Summer
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Sandia National Lab
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New Mexico
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
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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
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
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Quantum Computing Postdoctoral Scholars
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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
Hide Details
Software Engineer/Computer Scientist Scalable HPC
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Sandia National Lab
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albuqueque
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
Hide Details
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
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
Hide Details
Postdoc for Visualization for Scientific Machine Learning
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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
Hide Details
C++/Java Engineer
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Sandia National Lab
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albuqueque
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
Hide Details
Postdoctoral Fellow: ML for autonomous materials discovery
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Computational Materials Science Postdoctoral Fellow
·
Lawrence Berkeley National Laboratory
·
Remote
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Computational Project Scientist
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Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Senior Full Stack Software Engineer (Remote Friendly)
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Postdoctoral Scholar
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Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
HPC Postdoctoral Researcher
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
HPC Architecture and Performance Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Quantum Algorithms Postdoctoral Fellows
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Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
HPC System
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Sandia National Lab
·
albuqueque
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.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
HPC Storage Systems Developer
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Sr. Systems Engineer-EXAScaler
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DataDirect Networks
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Remote
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Full Stack Software Engineer (Remote Friendly)
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Lawrence Berkeley National Laboratory
·
Remote
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
Hide Details
NESAP for Simulations Postdoctoral Fellow
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
HPC Simulation Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Machine Learning Postdoctoral Fellow
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Software Systems Engineer
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Sandia National Lab
·
albuqueque
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.
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Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Quantum Computing Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Post-Moore Microelectronics/VLSI Co-Design Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Full Stack Software Engineer (Remote Friendly)
·
Lawrence Berkeley National Laboratory
·
Remote
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
Hide Details
Scientific Data Architect
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Machine Learning Postdoctoral Fellow
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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
Hide Details
HPC/AI Engineer
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Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Student Assistant (Multiple Openings and Projects)
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Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Hardware and C++ Engineer
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Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Account Executive-Higher Education & Research
·
DataDirect Networks
·
Remote
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
Hide Details
Quantum Algorithms Postdoctoral Fellow
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Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Federal Sales Engineer
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DataDirect Networks
·
Remote
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
Hide Details
Computational Science/Applied Mathematics Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Postdoctoral Fellow in Supercomputing Performance
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Director, Channel Sales - NA
·
DataDirect Networks
·
Remote
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
Hide Details
Computational Cosmology Postdoctoral Scholar
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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
Hide Details
Algorithm/Architecture Research Scientist
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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.
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2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Computational Cosmology Center Group Lead
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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.
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2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Quantums Computing Postdoctoral Scholar
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Senior Software Engineer – HPC, Storage and Distributed File Systems
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Samsung Electronics ,SSI
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San Jose, CA
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.
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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
Hide Details
Security/Systems Postdoctoral Scholar
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Security Engineer
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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
Hide Details
Computational Science Postdoctoral Scholar
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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
Hide Details
HPC Storage Systems Analyst
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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.
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·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Postdoc - Quantum Sensing
·
Sandia National Lab
·
albuqueque
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.
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·
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
UI Developer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Machine Learning Postdoctoral Fellow - 96992
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Post Baccalaureate Fellow
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Machine Learning Postdoctoral Fellow
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
HPC Systems Software Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Security Engineer
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Computer Science Postdoctoral Scholar
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Associate Director of Integrated Cyberinfrastructure
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National Center for Supercomputing Applications
·
Urbana IL
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
Hide Details
Quantum Information Science Program Manager
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
Computational Chemistry Postdoctoral Researcher
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
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
Hide Details
HPC Storage Analyst
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DataDirect Networks
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Remote
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
Hide Details
HPC Storage Infrastructure Engineer
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Lawrence Berkeley National Laboratory
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Berkeley, CA 94720
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
Hide Details
Senior DevOps Engineer
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Purdue University
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Remote
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
Hide Details
HPC Engineer, System Acceptance and User Environment (Early Career)
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Oak Ridge National Laboratory
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Oak Ridge, TN
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
Hide Details
Software Intern (FaST)
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KLA
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Milpitas, California
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
Hide Details
Postdoc Researcher in Machine Learning
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Brookhaven National Laboratory
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Upton, NY
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
Hide Details
Software Intern
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KLA
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Ann Arbor, Michigan
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
Hide Details
Research Software Engineer, CMS
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Purdue University
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Remote
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
Hide Details
Research Engineer
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SLAC National Accelerator Laboratory
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Menlo Park, CA
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
Hide Details
Algo Internship
·
KLA
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Milpitas, California
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
Hide Details
Algorithm Engineering Intern (RAPID)
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KLA
·
Milpitas, California
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
Hide Details
Software Development Manager
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scherbringea@ornl.gov
·
Oak Ridge, TN
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
Hide Details
ML Engineering Intern
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KLA
·
Milpitas, California
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
Hide Details
Software Engineering Internship
·
KLA
·
Temecula
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
Hide Details
Research Scientist, Quantum Information Sciences
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Purdue University
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Remote
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
Hide Details
Software Engineering Intern (SensArray)
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KLA
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Milpitas, California
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
Hide Details
Computer Vision/Machine Learning Intern
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KLA
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Milpitas, California
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
Hide Details
Algorithm Engineering Intern (FaST)
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KLA
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Milpitas, California
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
Hide Details
Advanced Development Intern
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KLA
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Milpitas, California
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
Hide Details
Electrical Design Engineer (Analog)
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KLA
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Milpitas, California
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
Hide Details
Algorithm Engineering Intern
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KLA
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Ann Arbor, Michigan
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
Hide Details
System Software Intern
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KLA
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Milpitas, California
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
Hide Details
Software and Algorithms Intern
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KLA
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Milpitas, California
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
Hide Details
Postdoctoral Research Associate Machine Learning
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Brookhaven National Laboratory
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Upton, NY
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
Hide Details
Research Scientist
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SLAC National Accelerator Laboratory
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Menlo Park, CA
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
Hide Details
Electrical Engineering Manager
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KLA
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Milpitas, California
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
Hide Details
HPC Engineer, User Assistance (Early Career)
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Oak Ridge National Laboratory
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Oak Ridge, TN
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
Hide Details
Machine Learning Engineer
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Brookhaven National Laboratory
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Upton, NY
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
Hide Details
Group Leader, Data Intensive Computing Engineer
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Purdue University
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Remote
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
Hide Details
Software Intern (EBeam)
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KLA
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Milpitas, California
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
Hide Details
Research Scientist Intern
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KLA
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Milpitas, California
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
Hide Details
Technical Support Engineer - Level 1
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DataDirect Networks
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Remote
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
Hide Details
Electronic and Algorithm Researcher (FPGA Firmware)
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KLA
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Ann Arbor, Michigan
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
Hide Details
Computer Scientist
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Brookhaven National Laboratory
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Upton, NY
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
Hide Details
Technical Support Engineer - Level 2
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DataDirect Networks
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Remote
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
Hide Details
Computer Programmer – Linked Data, Cybersecurity, HPC
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DeciSym, LLC
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Remote or Fort Washington, PA
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
Hide Details
Sr Software Engineer, HPC ( C++ | Linux )
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KLA
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Ann Arbor, Michigan
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
Hide Details
HPC Software Engineer (BBP)
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KLA
·
Milpitas, California
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
Hide Details
HPC Software Engineer
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KLA
·
Milpitas, California
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
Hide Details
Senior Data Scientist
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RENCI - UNC-Chapel Hill
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Chapel Hill, NC
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
Hide Details
HPC Systems Administrator
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Ohio Supercomputer Center
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Columbus, Ohio
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
Hide Details
Research Project Analyst
·
UNC-Chapel Hill
·
Chapel Hill, NC
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.
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·
2022-09-02
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location
Hide Details
Research Software Developer
·
RENCI - UNC-Chapel Hill
·
Chapel Hill, NC
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
Hide Details
Research Data Architect
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RENCI - UNC-Chapel Hill
·
Chapel Hill, NC
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
Hide Details
Post-Doc Research Associate
·
RENCI - UNC-Chapel Hill
·
Chapel Hill, NC
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
Hide Details
Deputy Director
·
RENCI - UNC-Chapel Hill
·
Chapel Hill, NC
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
Hide Details
Assistant Director of Analytics and Data Science
·
RENCI - UNC-Chapel Hill
·
Chapel Hill, NC
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
Hide Details
Research Aerospace Technologist - Fluid Mechanics
·
NASA Langley Research Center
·
Hampton, VA
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
Hide Details
Research Aerospace Technologist - Computational Scientist
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NASA Langley Research Center
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Hampton, VA
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
Hide Details
Research Aerospace Technologist - Fluid Dynamics
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NASA Langley Research Center
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Hampton, VA
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
Hide Details
System Administrator - HPC and Data Analytics Testbeds
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Sandia National Lab
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New Mexico
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
Hide Details
Research Scientist, HPC and AI
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Oak Ridge National Laboratory
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Oak Ridge, TN
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
Hide Details
HPC Support Engineer
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Parallel Works
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Remote
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
Hide Details
Full Stack Software Developer
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Oak Ridge National Laboratory
·
Oak Ridge, TN
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 Insuranc