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can be switched on the network and can be consumed by the GPUs without additional overhead. Main activities: You will be part of the "Scientific Computing and Data Science" (CSSD ) team made up of 7
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. Computational Optimization: Resolving hardware-specific performance and numerical precision challenges across diverse GPU environments. Architecture Design: Leading the design of new loss functions, model
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Posting Number R260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61964 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting
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national high-performance computing resources (Jean Zay). The position is based in Caen, a dynamic city located 2 hours from Paris. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6072-FREJUR0
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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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of three active research communities: operating systems memory management (NUMA policy, page migration, swap behaviour), high-performance and GPU computing (memory coalescing, unified memory, PCIe transfer
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orchestration in Kubernetes (e.g., NVIDIA device plugin, GPU scheduling, MIG, node affinity). Experience optimizing GPU utilization, memory management, and cost efficiency for compute-intensive workloads
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, MIG, node affinity). Experience optimizing GPU utilization, memory management, and cost efficiency for compute-intensive workloads. Preferred Competencies Ability to collaborate and interact effectively
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24 Apr 2026 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Computer engineering Computer science » Computer architecture
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parallelization strategies Experience with porting and optimization of parallel HPC software for modern architectures including GPUs Excellent knowledge of a variety of suitable computing languages (including C