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, VM infrastructure, networking, performance tuning, or data center planning. Co-leading group projects of small to medium size and complexity, to implement and deploy new computing technologies and
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at NERSC to enable large-scale simulation, data analysis and AI applications to run on NERSC supercomputing and storage systems. Provide budgetary input and oversight for NERSC's storage systems. Lead or
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solutions for high-performance computing (HPC) system management and large-scale monitoring, directly enabling the operation of NERSC's flagship systems, including the current Perlmutter supercomputer and the
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the validation of quantum computers operating in the classical-hardness regime. You will design and execute state-of-the-art experiments on superconducting quantum processors, lead large-scale benchmarking across
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team of quantum algorithm developers, physicists, mathematicians and computer scientists that will design and deliver novel algorithms, error mitigation and compiling techniques for DOE relevant science
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the development and application of a digital twin approach, aimed at bridging the gap between theoretical predictions, data interpretation, and experimental/spectroscopic observations. What You Will Do: Design
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problems. Demonstrated understanding of security principles and best practices, particularly as they apply to research data. Familiarity with generative AI, foundation models, and domain-specific large
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of Perlmutter and connect directly to DOE experimental and observational facilities so research teams can stream and analyze data in near real time. You will collaborate with NERSC staff, domain scientists, and
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. (or equivalent) in physics or a closely related field. Strong communication skills and the ability to contribute effectively to large-scale software projects. Proven capability to conduct independent research as
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Sciences: Luis W. Alvarez Postdoctoral Fellowship, and Admiral Grace M. Hopper Postdoctoral Fellowship Researchers in computer science, mathematics, data science, or any computational science discipline who