15 combinatorial-optimization positions at Oak Ridge National Laboratory in computer-science
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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 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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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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. Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred. Excellent written and oral
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and lead technical projects from conception to completion. This includes planning for hardware upgrades, new technology implementations, and system performance enhancements. Performance optimization and
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application methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In addition to software development/application, you will also engage with the broader
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center workload trends, Deep Learning (DL) research, analyst reports, competitive landscape, and token economics Cluster Management and Optimization: Oversee the installation, configuration, and management
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evolution, manage its operations, and cultivate a world-class team. This role is both operational (managing and optimizing assets and services today) and strategic in charting the future of geospatial compute
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to post-process characterization. This environment enables the creation of high-fidelity digital twins and AI-ready datasets that support real-time monitoring, predictive modeling, and process optimization
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of major IT initiatives. • Work with staff and customers to develop and/or review solutions. • Troubleshoot and debug various Kubernetes workloads, CI/CD pipelines, and implement solutions to optimize