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Field
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/SCI Clearance Master’s degree Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based Working with geo-spatial data Statistics, multivariable calculus, and linear
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stack • Experience with Keycloak • Experience with Infrastructure as Code • Experience with GPU clustering technologies and frameworks • Familiarity with networking in an on-prem environment Overtime
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
://ffaucher.gitlab.io/hawen-website/ ), by enriching its feature set and improving its parallel performance on graphical processing units (GPUs). The Hawen software simulates wave propagation in various media, including
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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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learning algorithms (robustness; security/privacy, e.g., DP or FL; and uncertainty quantification). Experience scaling training/inference on GPU-accelerated HPC systems and collaborating on multi-institution
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 3 months ago
coupling with adaptive meshes. High-order spectral finite element methods (SFEM) offer superior accuracy per degree of freedom and are naturally suited to HPC architectures (CPU/GPU clusters). Two main
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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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infrastructures, improving system performance, scalability, and efficiency by optimizing resource usage (e.g., GPUs, CPUs, energy consumption). Researchers and students will explore innovative approaches to reduce
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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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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