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. Optimizes the performance and scalability of AI/ML workloads through algorithmic and system-level improvements, including evaluation and tuning of CPU vs. GPU usage for cost-effectiveness. Monitors and
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multiple languages. Proficient on a computer cluster and ideally programming with GPU nodes. Preferred Competencies Knowledge of relevant scientific fields and procedures. Work both independently and in
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work environment, collaborating with faculty, staff, students, and the broader UChicago community. Experience working with GPUs and remote computing environments. Knowledge of best practices around
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skilled HPC System Administrator to join its Systems and Operations Team. This position will support the deployment, maintenance, and automation of RCC's HPC systems, including CPU/GPU clusters, storage