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Field
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initiatives and process improvement. Experience provisioning and managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU systems) in cloud and/or on-prem environments. Familiarity with GPU
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
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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dealing with the large number of plankton types and with unresolved ecological processes especially around mortality. Modern, GPU based, modelling infrastructures provide promise towards running models
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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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and multi-omics data environments Modern GPU, and high-performance computing resources, plus dedicated research-engineering support Close integration with clinicians and clinical trial/implementation
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expertise in optimisation; Computer Science, with expertise in design and analysis of algorithms and high-performance (GPU) computing; Industrial and Systems Engineering, with AI in process mapping and Conops
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website to learn more about current research projects. The successful candidate fellows will have access to a 70,000-core Infiniband Cluster (Jubail) dedicated to the science division, several GPU-based
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 19 days ago
, 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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Language Model (LLM) GPU cluster to ensure stable and reliable operation of training tasks; (b) handle GPU node failures, IB network anomalies, CUDA/NCCL errors and Kubernetes scheduling failures, perform
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, GPU/FPGA acceleration or high-performance computing. Desirable Knowledge, Skills, and/or Abilities 1. Active government security clearance at Secret level or higher. 2. Demonstrated success in