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Research Scientific Computing Center (NERSC) is seeking a versatile Software / API Engineer to join our team building software systems that integrate scientific workflows and supercomputing systems
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codes is preferred. Support scientific staff and develop software methods to effectively use HPC resources (e.g., Laurencium and NERSC) Apply visualization and analysis software packages to facilitate
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conferences. Engage in community knowledge-sharing (e.g. tutorials for the NERSC user base). What is Required: PhD awarded within the last five years in Physics, Computational Chemistry, Computational Science
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resources, and the DOE ESnet network. Develop and apply advanced workflow capabilities to improve performance, portability, and productivity of scientific software. Collaborate with computational and domain
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software Shape future NERSC supercomputers, evaluating new architectures for AI. Collaborate with scientists and industry partners to enable transformative AI for science Determine methods and procedures
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, edge resources, and the DOE ESnet network. Develop and apply advanced workflow capabilities to improve performance, portability, and productivity of scientific software. Publish and present results
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insights for high energy particle physics. This position will contribute to the development and/or advancement of open-source software tools. This position will be involved in the design and execution
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, Materials Science, or a related field. Hands-on experience with first-principles or atomistic methods relevant to interfacial systems, including DFT, ab initio MD, enhanced sampling techniques, or tight
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degree in Mechanical Engineering or related field with 7+ years of relevant experience, or 10+ years of hands-on experience in mechanical CAD design. Proficient in 3D CAD software (e.g., Creo Parametric
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to accelerate discovery through advanced computing, artificial intelligence, and data-driven science, supported by state-of-the-art cyberinfrastructure (CI) systems, tools, specialized software, and applications