204 high-performance-computing positions at Oak Ridge National Laboratory in United States
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Duties/Responsibilities: Support of the ORNL Program Director, Subprogram Director, and Center Directors in strategic areas from inception to full scale operation. Tracking and reporting of remaining DOE
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, the American Science Cloud, and the Oak Ridge Leadership Computing Facility (OLCF). Working within the Workflows and Ecosystem Services (WES) Group at the National Center for Computational Sciences (NCCS), you
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conversions, and platform-standardization initiatives. Troubleshoot complex connectivity, routing, application, performance, high-availability, and security-policy issues across multiple network and system
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communication and program management skills are required. This position resides in the Carbon Fiber Technology Facility (CFTF) and the work is performed at the Manufacturing Demonstration Facility (MDF) in
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performance computing, including reviewing/interpreting Statements of Work and engineering documents. Experience with cost-type contracts and cost accounting standards. Advanced level of knowledge and
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
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evolution, phase stress, and defect evolution using advanced data analysis tools. Perform alloy fabrication and processing (e.g., arc melting, heat treatment) and relate processing to performance. Apply
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specialists in organic and inorganic synthesis, coordination chemistry, thermodynamics, laser spectroscopy, materials characterization, chemical separations, computational chemistry, and nuclear chemistry. Our
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executing in a high-performance computing environment Use of AI/ML techniques to develop surrogate models and support scientific discovery Experience in multiphysics modeling Experience in parallel