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and service meshes that expose OLCF computing resources to diverse scientific workflows and external facilities. Define API specifications, manage versioning, and guide systems from prototype through
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supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you access to unmatched resources to prototype new ideas, run experiments, and translate methods
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traditional deployment (cobbler, PXEboot, and/or Bright). Experience managing systems utilizing GPU (NVIDIA and AMD) clusters for AI/ML and/or image processing. Knowledge of networking fundamentals including
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distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints. Cross‑Paradigm Integration(new optional emphasis): Explore how
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supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you unmatched resources to prototype new ideas, run large ablations, and translate methods
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Qualifications: Ph.D. in electrical, electronics, or VLSI engineering; computer engineering; computer science; computational science; or a closely related field completed within five years of application Strong
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well as electromagnetic, structural and thermal FEA programs (i.e. MagNet, Motor CAD, ANSYS and COMSOL) Capable of carrying designs through to prototype build and test. Be cognizant and knowledgeable about motor drive
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visibility. Major Duties/Responsibilities: Conduct independent R&D in robotics, automation, and advanced manufacturing systems for building construction. Design, prototype, and demonstrate new robotic