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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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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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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
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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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as code” approach to systems automation. You’ll be working across a range of predominately Linux based systems, including HPC and GPU accelerated compute, large-scale and high-performance storage, and
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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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: Applications accepted all year round Details In this project you will combine state of the art software development approaches for GPU programming with the study of interactions of high-energy particles with
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especially on GPU infrastructure enhancements and improvements as part of Yale’s comprehensive campus investment in AI . As an experienced subject matter expert, you will help lead the system design
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Empire Innovation Professor (Associate Professor) Artificial Intelligence in Biomolecular and Drug D
. This position offers substantial resources, including access to the SeaWulf computing cluster and cutting-edge GPU clusters housed at IACS and CEWIT. The Empire Innovation Professor will join a robust community