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learning algorithms for engineering systems Programming experience in FORTRAN, C, or C++ and scripting experience in Python or similar languages Experience with parallel computing environments and Linux
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performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects
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, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores. We
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environments in the world. This evergreen posting represents multiple potential openings for senior-level roles across ORNL’s high-performance computing ecosystem. Senior HPC Linux Systems Engineers
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-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
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journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation
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systems, high-speed parallel file systems, and archival solutions critical to advancing scientific discovery and innovation. As part of ORNL’s leadership-class computing ecosystem, you will play a vital
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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming
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the world. This evergreen posting represents multiple potential openings across ORNL’s high-performance computing ecosystem. Successful candidates will help architect, deploy, and maintain HPC systems
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Lustre parallel file system. NCCS serves multiple agencies including DOE, NOAA, and the Air Force. The NCCS also supports the center’s Quantum Computing User Program (QCUP) which provides access to state