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Field
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Experience Experience installing, maintaining, and optimizing HPC scientific applications, libraries, and toolchains ( MPI , OpenMP, CUDA , compilers, numerical libraries). Proficiency with HPC software
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networks. Experience securing research funding, managing research programs, and building academic partnerships. Experience with embedded systems, FPGA/RTL, and RF technologies, and CUDA coding for GPU
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research or prototyping context. Experience with FPGA/RTL development and Xilinx tools, and CUDA coding for GPU acceleration. Knowledge of RF design, signal integrity, and calibration, with experience
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background in computer systems, GPU programming. Experience with CUDA, Triton, PyTorch, and LLM inference frameworks. Experience in research and good publication record. Track record first-author publications
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. Experience with large-scale C++ projects and version management tools (e.g., GitHub). Experience with STM32 microcontrollers and Xilinx RFSoC platforms, and CUDA coding for GPU acceleration. Apply
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Radio) concepts and lab equipment for experimental research and validation. Experience with protocol implementation and bridging (e.g., JESD204C/eCPRI), and CUDA coding for GPU acceleration. Knowledge
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Engineering at Scale : Profile, model, and optimize distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints. Cross
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Engineering at Scale: Profile, model, and optimize distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints. Cross
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computing (HPC), CUDA, and field-programmable gate array (FPGA) technologies. Represent Breakthrough Listen Internationally: Serve as a leading representative of SETI research to industry, research
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logiciels. Moyens / Méthodes / Logiciels C, Cuda, Python Profil du candidat Qu'attendons-nous de vous ? Vous êtes en dernière année d’un cycle d’ingénieur ou master spécialisé en informatique, avec