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. Experience with multiple deployment mechanisms like Diskless, Warewulf, and traditional deployment (cobbler, PXEboot, and/or Bright). Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI
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and lead in the development of compute resources critical to CESR operations, analysis, and simulation – including the CLASSE Compute farm which supports batch, parallel, GPU, and interactive workflows
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-on experience in one or more of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high
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-unterstütze Simulation« team offers you exactly that. What you will do Optimizing existing code for electronics application considering multi-CPU and multi-GPU usage (implementation in jax and/or numpy and/or C
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database modeling techniques (e.g., vector and graph databases). Familiarity with high-performance computing environments and AI-focused GPU provisioning. Experience with Microsoft CoPilot, OpenAI APIs, and
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enterprise networking switches (Mellanox/Nvidia or Cisco preferred) Experience with Al/ML frameworks and GPU-based computing is highly desirable. Ability to work independently and as part of a team, with
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., GPU numerics, Artificial Intelligence, machine learning, inverse modeling) Recognizing that methods are developing faster than they can be adopted by disciplinary experts, CEOAS will create a
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GPU-accelerated ML and related frameworks. Experience using JavaScript and web development frameworks. Experience using Unreal Engine and VR/AR environments. Prior work experience in professional or
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of compute resources critical to CESR operations, analysis, and simulation – including the CLASSE Compute farm which supports batch, parallel, GPU, and interactive workflows across a cluster of high
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System Network Engineer to join our department, with a specific knack for networking. The infrastructure combines accelerated computing and GPUs clusters, open-source platforms-as-a-service, and fast