HPC/AI Engineer
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Lawrence Berkeley National Laboratory
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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