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science research conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed
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, including Ray connectivity, graphics processing unit (GPU) and resource allocation, and scheduling Partner with the broader NDIF team to keep the system dependable and usable as user needs evolve
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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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multiple projects Preferred: Experience with educational technology development and web programming LAMP stack design and implementation experience Knowledge of GPU and FPGA cluster management Experience
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computing environments (e.g., GPU ‑ enabled systems, shared compute clusters). Working knowledge of database systems, including: Relational databases (e.g., PostgreSQL / SQL) Exposure to graph