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-scale HPC systems, including CPU and GPU clusters, high-performance storage, and advanced networking technologies. The postholder will work closely with academic researchers, software engineers, and
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group of Prof. Sera Markoff (Plumian Professor) studies these systems across the full black hole mass scale, combining GPU-accelerated supercomputer simulations and semi-analytic modelling with data from
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systems in terms of development effort, features, and performance. Its missions include the design and implementation of verified inference components, the formalization of GPU kernel semantics, the
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HPC infrastructure; • installation, configuration, administration, and monitoring of: - CPU and GPU computing clusters, - storage systems, - virtualization and cloud computing platforms, - orchestration
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enabled medical physics simulation, Cosserat rod theory to support hands-on class activities and development of NVIDIA GPU-based course modules.) Demonstrate and support demo or integration
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are looking for an experienced software engineer to help with the development and maintenance of our GPU-native hypersonic CFD software. A successful candidate will be able to demonstrate proficiency in
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, automating, and optimizing the GPU and AI and computing infrastructure used by researchers across the university, along with the high-performance computing systems that support it. This position will be filled
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, automating, and optimizing the GPU and AI and computing infrastructure used by researchers across the university, along with the high-performance computing systems that support it. The position will be filled
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development and GPU-accelerated inference to change what can be attempted by a small research group. The postholder will derive physical predictions, direct the construction of the software needed to test them
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and ethically. Its core is a studio of high-performance GPU workstations hosting open-source models locally (image, video, audio and language) where staff and students can see, adjust and interrogate