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, and security monitoring tools. PREFERRED: Professional certification (CISSP or equivalent), hands-on experience with securing HPC, GPU cluster, or data center environments, experience with AI/ML
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maintain the workload scheduler and architect quality-of-service policies. Administer Linux systems across infrastructure projects and deployment of new GPUs for research and teaching. Troubleshoot complex
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in chemistry, physics, or related field. At least 2 years of experience developing quantum Monte Carlo algorithms. Strong problem-solving and analytical skills. Python programming experience. GPU
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 20 days ago
of complex AI research workloads on state-of-the-art hardware. The role will have heavy focus on optimizing existing NVIDIA GPU-based workloads for top-tier AMD GPUs, such as MI355X and beyond and will analyze
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performance of complex AI research workloads on state-of-the-art hardware. The role will have heavy focus on optimizing existing NVIDIA GPU-based workloads for top-tier AMD GPUs, such as MI355X and beyond and
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well as large-scale GPU computing facilities for deep learning. We are looking for a Research Engineer to manage the EEE GPU Cluster. The role will focus on enhancing the EEE GPU Cluster team’s ability in terms
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, vulnerability management, and security monitoring tools. PREFERRED: Professional certification (CISSP or equivalent), hands-on experience with securing HPC, GPU cluster, or data center environments, experience
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différents types de parallélisme, que ce soit au niveau d'un nœud de calcul (CPU et GPU) qu'au niveau d'une grappe de PC. Cet environnement inclura les outils nécessaires à la description et à la construction
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FLAME-GPU accelerated agent-based modelling of material response to environmental and operational loading EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce
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Computer (HPC) with its sizable cluster of CPUs, GPUs, storage arrays and high speed networking as well as our cloud (AWS) based Data Safe Haven, used for researchers working on sensitive data. As Research