38 combinatorial-optimization positions at Oak Ridge National Laboratory in engineering
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Computing Support Division of the Information Technology Services Directorate (ITSD) at Oak Ridge National Laboratory (ORNL). This position will require a regular on-site presence. We optimize our workflows
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infrastructure supporting classified national security, intelligence, scientific, HPC, and emerging mission environments. Architect, build, optimize, and sustain enterprise Linux platforms, primarily Red Hat
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Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization, monitoring
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, and efficiency of our systems, while also participating in project planning and execution. The Mid-Level Systems Engineer will play a key role in optimizing system performance, troubleshooting issues
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, services, cost savings, and optimizations that enhance research outcomes and reduce IT burden for researchers Collaborate with a diverse, multidisciplinary team including photogrammetrists, geographers
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: Develop, maintain, and optimize LabVIEW-based software for data acquisition, monitoring, and control applications across new and existing systems. Lead the design, integration, and deployment of real-time
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of results across projects. Build and optimize data models, schemas, and databases that improve data quality, usability, and interoperability across systems. Support the automation of preprocessing, feature
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security, intelligence, scientific, HPC, and emerging mission environments, primarily using Red Hat Enterprise Linux (RHEL) and related distributions. Design, build, configure, optimize, and sustain physical
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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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requiring boundary-layer (i.e., large aspect ratio) meshing capabilities. Additional application methods of interest include adaptive meshing for design/shape optimization as well as solution optimization. In