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projects that target NERSC HPC systems. Analyze and optimize quantum-related workflows, including classical simulation of quantum systems. Develop and apply advanced workflow capabilities such as on-system
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role, you will serve as a Data Performance Engineer in NERSC's Application Performance Group, architecting HPC and AI data services that advance fundamental science. You'll optimize storage systems
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at peer-reviewed venues and conferences. Example project areas Performance analysis and optimization of end-to-end scientific workflows, including those originating at DOE facilities. Operating persistent
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(e.g., superconducting quantum processors). Validate, analyze, and interpret experimental data and results. Simulate the performance of quantum circuits on classical supercomputers. Design and optimize
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: Development, performance analysis and optimization of end-to-end science workflows, including those originating at DOE facilities. Deployment of capabilities such as AI training and inference at scale, and
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(deep learning, generative models, NLP, computer vision) and integrate these approaches with Lab-scale HPC and cloud environments. Develop and optimize pipelines that combine HPC with AI frameworks
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. Experience with GPUs and performance optimization of ML at scale. Familiarity with containerization and HPC workflows. Notes: This is a full-time, career appointment, exempt (monthly paid) from overtime pay
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technologies: C, shell, and Python programming languages Git, runners, and complex CI/CD pipelines Using and developing AI (or machine learning) tools and services Database administration and optimization
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on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run on next-generation high performance computing and
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domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run