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Position Details Position Information Recruitment/Posting Title Lead Software Developer – GPU-accelerated Free Energy Simulation and Machine Learning Methods Department Quantitative Biomedicine Inst
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a leading role in the design, deployment, maintenance, and optimisation of large-scale HPC systems, including CPU and GPU clusters, high-performance storage, and advanced networking technologies
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high-performancehardware, cloud services, and practical user applications, ensuring that our AI platforms, from on-premises GPU clusters and sovereign data sandboxes to cloud-hosted AI services
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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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facilities, including GPU, server and specialised research equipment. Ensure the operational readiness, reliability and effective functioning of laboratory and research computing infrastructure, including
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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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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