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The Department of Computing wishes to recruit a Cloud and GPU Infrastructure Manager to be responsible for the administration, maintenance, and optimization of both our internal GPU infrastructure
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of research computing at LSE. Your expertise will be key in future-proofing our research hardware environment, ensuring high availability, scalability and security across HPC clusters; GPU acceleration, high
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reproducible computational pipelines for HPC/cloud environments. Experience with AI explainability methods, Git repositories, GPU acceleration, and the ability to draft manuscripts for publication are also
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software solutions and working in a team Based at our Riseholme Campus, you'll have access to exceptional facilities including robotics labs, GPU clusters, and a working farm for real-world testing. We offer
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management at scale and GPU technology in virtualised environment are highly desirable. As part of this recruitment we are looking to appoint a Senior Research Infrastructure Developer with specialisations in
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, evidenced by e.g. projects on Github. Familiarity with deep learning hardware / accelerators and GPU/CUDA kernels.
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processing including segmentation. The team is well equipped with high-end workstations with 1Tb RAM and 4090 GPUs, and a 4-8 GPU server for more complex tasks. The University of Warwick is part of
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on hardware which may include CPUs, GPUs and FPGAs. In particular we are interested in applicants who have experience of modern coding practices and software techniques. The post-holder will work with Prof. Ben
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-relevant media are a strong plus. Very good organizational skills are highly desirable. Knowledge of parallel computing and use of GPUs are desirable. Supervision and teaching experience is an advantage
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rendering into medical imaging workflows. A major focus will be on accelerating inference and training using GPU-optimised components, including custom CUDA kernels. This role offers a unique opportunity to