Research Scientist in HPC and AI Performance

Research Scientist in HPC and AI Performance - 94068

Department:  CR-Computational Research

Lawrence Berkeley National Lab’s (LBNL, https://www.lbl.gov/) Computational Research Division (https://crd.lbl.gov/) has an opening for a Research Scientist in HPC and AI Performance to join the team. In this exciting role, you will conduct and help lead fundamental and applied research in performance optimization and performance modeling of HPC and deep learning applications running on multicore- and accelerator-based supercomputers.

What You Will Do:

• Analyze the performance and scalability of HPC and deep learning applications running on multicore- and accelerator-based supercomputers.

• Implement optimizations that address the performance and scalability bottlenecks in HPC and deep learning applications running on multicore- and accelerator-based supercomputers.

• Develop and prototype performance modeling techniques that capture the key performance facets of HPC and deep learning applications running on current and future multicore-, GPU-, and AI accelerator-based supercomputers.

• Publish and present research results in high-impact journals and top conferences in the areas of parallel computing, machine learning, and performance modeling.

• Work in a multidisciplinary team environment including mathematicians, computer/computational scientists, and domain scientists.

What is Required:

• Ph.D. in Computer Science, Applied Mathematics, Computational Sciences, or a related technical field, or a combination of experience and education.

• In-depth knowledge of multicore or GPU-accelerated architectures.

• Proficiency in C and/or C++ programming language.

• Proficiency in one or more of the parallel libraries/languages such as MPI, OpenMP, CUDA.

• 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 such as make and git.

• One or more of the popular scripting languages such as Python, Julia, or R.

Notes:

• This is a full-time, 2 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.

• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

• Work 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=210517 and follow the on-line instructions to complete the application process.

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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:

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