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. Experience designing and operating massive-scale GPU and combined CPU/GPU workloads across these services. Design and debug platforms and will work closely with researchers as you co-design solutions that will
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-of-the-art high-performance computing (HPC) infrastructure. In this position, you'll leverage your expertise to support and manage CSHL's AI-driven compute cluster powered by NVIDIA H100 GPUs, empowering
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; and scaling and optimising data science and AI research to leverage HPC and GPU infrastructure. Main Duties and Responsibilities 1. Provide leadership of software engineering services managed and
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concepts to project teams with varying levels of expertise. Serve as a liaison with Princeton Research Computing staff on GPU cluster-related issues. Application of Domain Expertise Collaborate with our
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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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the entire northern sky every day and processes over 6.4Tb/s of sky data 24/7 on a large on-site GPU cluster. CHIME is a multi-institutional collaboration with 100+ members. The Scientific Software Engineer
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applications Experience with AI model optimization and edge deployment Familiarity with AI hardware acceleration (GPUs, TPUs) Experience with data engineering and AI pipelines This position is hybrid, with a mix
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researchers and future Research Software Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics
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communicate effectively with the team to debug the model. The OLG model codebase is technically challenging and computationally demanding. For example, it solves dynamic programming problems with GPU
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of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant