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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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container technologies in HPC environments. Experience with multiple system deployment mechanisms (Warewulf, PXEboot, Cobbler, Bright). Experience with GPU clusters (NVIDIA, AMD) for AI/ML and scientific
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utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing. Knowledge of networking fundamentals including TCP/IP, traffic analysis, common protocols, and network diagnostics. Experience with
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environments. Experience with multiple system deployment mechanisms (Warewulf, PXEboot, Cobbler, Bright). Experience with GPU clusters (NVIDIA, AMD) for AI/ML and scientific workloads. Deep expertise with high
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including code design, documentation and testing. Familiarity with optimization methods including Machine Learning (ML) techniques. Any experience with computations on GPUs. Working knowledge of Linux command
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of ORNL’s AI/ML tools, leveraging high-performance computing resources and AI-focused GPUs. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity
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). Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing. Knowledge of networking fundamentals including TCP/IP, traffic analysis, common protocols, and network