41 combinatorial-optimization positions at Oak Ridge National Laboratory in mechanical-engineering
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operational procedures. Cluster Management and Optimization: Oversee the installation, configuration, and management of HPC clusters, ensuring optimal performance, scalability, and reliability. Implement and
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management, parallel computing, and performance optimization while helping evaluate and introduce emerging technologies that advance mission capabilities. You will work alongside a multidisciplinary team of
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Management and Optimization: Oversee the installation, configuration, and management of HPC clusters, ensuring optimal performance, scalability, and reliability. Implement and manage job scheduling, resource
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supports science and national security. Major Duties/Responsibilities: HPC Storage Architecture & Engineering Lead the architecture, design, modernization, and optimization of high-performance storage and
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operational procedures. Cluster Management and Optimization: Oversee the installation, configuration, and management of HPC clusters, ensuring optimal performance, scalability, and reliability. Implement and
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and thermal-hydraulics analysis. Major Duties/Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA, OpenMC, MCNP, Serpent
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and thermal-hydraulics analysis. Major Duties and Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA, OpenMC, MCNP
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support the neutronics and thermal-hydraulics analysis. Major Duties/Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization
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National Laboratory (ORNL). This group leads the application of machine and cascade theory to develop, execute, and interpret testing evolutions for discovery, performance evaluation, and optimization