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: Experience with CUDA programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high
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, evaluation, and experimentation. Experience working in high-performance computing (HPC), distributed compute, or accelerated environments (GPUs, multi-node systems). Solid background in database systems
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course covers fundamentals of cloud computing, including virtualization and containers, distributed file systems and object stores, infrastructure-as-a-service platforms, open-source cloud platforms, key
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PyTorch, including model training, fine-tuning, evaluation, and experimentation. Experience working in high-performance computing (HPC), distributed compute, or accelerated environments (GPUs, multi
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, including autonomous systems, robotics, cognitive and distributed sensing, and machine learning systems, among others. Successful candidates will be responsible team players and passionate about
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distributed sensing, and machine learning systems, among others. Successful candidates will be responsible team players and passionate about cutting-edge technologies, as well as possess a deep
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distributed or accelerated computing environments (e.g., GPU‑enabled systems, shared compute clusters ). Working knowledge of database systems, including: Relational databases (e.g., PostgreSQL / SQL
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About the Opportunity Reporting the Library Program Manager for Entrepreneurship, the Business and Entrepreneurship Librarian serves as the liaison to the D’Amore-McKim School of Business and helps
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About the Opportunity JOB SUMMARY: The Operations and Technology Manager will support the day-to-day operations and technology needs of the AI Innovation Lab. This role requires technical oversight
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research platform. This role creates systems that keep distributed services healthy and available, makes clusters easier to debug and operate, and builds tooling that enables the platform to scale as