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Field
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influence the technological trajectory of the ecosystem. The core responsibilities of this position include developing and owning the overall SoC specifications and architecture, encompassing CPU, GPU, memory
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TensorFlow, PyTorch, etc.) Experience with GPU computing, especially for AI/ML calculations Understanding of multi-user computing systems, environments and networks Experience with teaching and/or tutoring in
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
methods (SFEM) offer superior accuracy per degree of freedom and are naturally suited to HPC architectures (CPU/GPU clusters). Two main Galerkin formulations exist: Continuous Galerkin (CG-SFEM): Memory
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in high-performance computing systems, storage and I/O. Extensive knowledge on parallel file systems, GPUs, and their trends. (more than 3 years of working with these systems) Experience with
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-performance workstations, CPU/GPU clusters, and experimental systems tailored for fish and fly research. This role will necessarily involve both software development and software-hardware integration, with
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megawatts. To transfer energy efficiently from the grid to CPUs/GPUs, higher system voltages are required in data centres/computer racks, and efficient power electronics converter systems based on SSTs
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scientists, software and AI engineers, and neuroscientists, you’ll have access to high-performance workstations, CPU/GPU clusters, and experimental systems tailored for fish and fly research. This role will
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cultures for the betterment of humanity. KAUST offers superb research facilities, including the Shaheen supercomputer (listed as top 20 in the HPC world list) sporting 3000+ GPUs; generous assured research
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modules, and monitor training progress. Display performance metrics (e.g., inference time, GPU utilization, throughput, ROI impact) in real time. System Integration Work with the research team to connect AI
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people and cultures for the betterment of humanity. KAUST offers superb research facilities, including the Shaheen supercomputer (listed as top 20 in the HPC world list) sporting 3000+ GPUs; generous