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heterogeneous computing (e.g. GPUs) OTHER INFORMATION: LOCATION: Upton, NY Domestic and some international travel is anticipated. Brookhaven National Laboratory is committed to providing fair, equitable and
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learning, Unsupervised learning, PyTorch, GPU handling. C3 Research creativity and cross-disciplinary collaborative ability C4 Excellent communication skills (oral and written), including public
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) - Experience supporting or deploying machine learning (ML/AI) workloads - Experience with NVIDIA data center class GPU hardware and software platforms (e.g., DGX, HGX, NGC) - Experience with regulatory
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: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral
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containerisation (e.g., Docker) and orchestration tools (e.g., Kubernetes) for deploying and managing applications at scale, including support for GPU-accelerated applications. Data Engineering Tools: Proficiency in
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-focused GPUs. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a
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. Operates and maintains airport ground support equipment, such as aircraft tugs, ground power unit (GPU), lavatory service cart, de-icing cart, forklift, golf cart, UTV, and airport shuttles and vehicles
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skilled HPC System Administrator to join its Systems and Operations Team. This position will support the deployment, maintenance, and automation of RCC's HPC systems, including CPU/GPU clusters, storage
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study Experience and proficiency with using one or more Unix-like operating systems, for example Linux Experience with research and/or practice in one or more STEM disciplines Experience with GPU
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operated on behalf of the UC San Diego research community. TSCC comprises approximately 300 general computing and GPU nodes and is designed to grow as more researchers participate. In this capacity