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Data). Proficiency with NVIDIA Nsight and Compute for profiling AI workloads on GPUs. Experience developing CI/CD pipelines using GitLab, Travis, CircleCI, or similar tools. Experience with software
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computing needs, including GPU-enabled workstations, specialized software, reproducibility, performance, and secure remote access. Ability to diagnose issues across operating systems, drivers, remote desktop
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Position Summary Serve as the Lead for the team ensuring smooth operation of the Linux cluster consisting of 300+ GPU/CPU compute nodes including parallel filesystems and high-performance network
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to gather requirements, manage expectations, and balance competing priorities. Experience supporting high-performance or GPU-enabled scientific computing environments, including NVIDIA/CUDA, performance
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. This position oversees the installation, configuration, and maintenance of servers, including GPUs, within the CRAY supercomputer environment and other hosted equipment. This position ensures compliance with