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. Prior work with databases used for organizing large-scale processing. Prior use of and/or software development with GPUs. Experience with visualization of large data sets. An understanding of how to make
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at MGHPCC facility (i.e., data center, compute, storage, networking, and other core capabilities). Deploy, monitor, and manage CPUs, GPUs, storage, file systems, networking on HPC systems. Develop and deploy
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of modern machine learning architectures and optimization techniques. Proficiency in deep learning frameworks (PyTorch). Experience with Nvidia GPU stack and HPC technologies. Detail-oriented expertise, with
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. Familiarity with data formats common in scientific domains such as medical imaging, genomic sequences, proteins, chemical structures, geospatial, oceanographic, and heath record data. Experience in CUDA GPU
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, VMware. Experience building and running containerized applications in an HPC environment. Knowledge of Apptainer, Warewulf, Fuzzball. Experience managing systems using GPU/CUDA clusters for AI/ML and/or
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support. Deep understanding of modern machine learning architectures and optimization techniques. Proficiency in deep learning frameworks (PyTorch). Experience with Nvidia GPU stack and HPC technologies
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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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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