366 parallel-computing-numerical-methods "Institute of Computer Science" positions at Oak Ridge National Laboratory
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numerical discretization techniques, high performance computing, mesh generation, and geometry representation for a wide variety of physics applications. Our intention is to integrate computational
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intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
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another, work together, and measure success. Basic Qualifications: BS degree in computer science, engineering, data science, information systems, or a related technical or scientific field and 12 years of
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mixed-precision, energy-efficient, and accelerator-optimized methods — for large-scale numerical, scientific, and/or AI models. Demonstrating the scalability of new algorithms on leadership
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how to use the software. Solid understanding of neuromorphic computing and SNNs, including common neuron models (e.g., leaky integrate-and-fire) and SNN training or conversion methods (e.g., spike
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infrastructure. Propose and implement improvements to existing systems and processes to support the evolving needs of the organization. Basic Qualifications: BS in computer science, engineering, or a related
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focus on cluster management, parallel computing, and performance optimization. Demonstrated experience working in classified environments, including a thorough understanding of security policies
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environment. Basic Qualifications: BS degree in computer science, engineering, or a related technical discipline and a minimum of eight years of relevant experience. An equivalent combination of
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Leadership Computing Facility (OLCF), deploying the world’s first exascale supercomputer system (Frontier), and deploying some of the largest parallel file systems in the world. As a U.S. Department of
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Requisition Id 17131 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative