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distributed computing, machine learning, and architecture search, you will use leadership-class and exascale systems to evaluate and optimize new approaches. You will collaborate across disciplines, help
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experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security
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$0.00 – $1,000.00 Weekly Point of Contact Kimberly Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Currently pursuing a Bachelor's Degree. Discipline(s): Computer, Information, and Data
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, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success. As a U.S. Department of Energy (DOE) Office of Science national laboratory
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of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing. Author peer reviewed papers for internal and external release as
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modeling with an understanding of numerical methods and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific
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and Information Assurance teams to integrate security throughout system design, implementation, operation, and modernization. Identify and remediate vulnerabilities while maintaining the performance and
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dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed frameworks for machine learning (e.g
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supercomputer to break the exascale barrier and Orion, a 700 petabytes Lustre parallel file system. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division also hosts
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process — from marketing and recruitment to yield and matriculation— with a primary focus on experienced professionals across the U.S. Counsel and advise prospective students about application processes