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Field
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systems, FPGA/RTL, and RF technologies, and CUDA coding for GPU acceleration is a plus. Strong leadership, communication, and documentation skills.
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
++, CUDA, Python, and PyTorch LanguagesFRENCHLevelBasic LanguagesENGLISHLevelGood Additional Information Benefits Subsidized meals Partial reimbursement of public transport costs Leave: 7 weeks of annual
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in programming languages and tools such as Python, R, MATLAB, and Julia, will be essential for success in this role. Proficiency with High Performance Computing (HPC), CUDA, and Linux-based servers is
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skills. Other qualifications: Documented experience in the development and optimization of scientific software for GPU-based computing platforms. Experience with programming using CUDA, HIP, SYCL, OpenACC
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, CUDA) and high-performance interconnects (e.g., InfiniBand). Preferred Qualifications: Familiarity with advanced storage solutions and parallel file systems (e.g., Lustre, GPFS, or BeeGFS). Professional
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postdoctoral research). Expertise in quantum algorithms and NISQ computing. Experience with hybrid quantum-classical workflows. Proficiency with Qiskit, PennyLane, CUDA-Q or equivalent. Strong programming skills
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NVIDIA H200 NVL) which both complement our departmental NVIDIA CUDA Compute Cluster (80+ GPUs up to NVIDIA A100) to cater for the increasing GPU compute demands of modern AI-driven research projects
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to the development of the HashBrick library, an open source framework for adaptive mesh refinement, written in CUDA and supporting one-sided communication for scalability. The target architecture is a supercomputer
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accelerator programming models such as CUDA, HIP, SYCL, OpenMP, MPI, etc. Demonstrated effective written and oral communication skills, a proven publication record, and effective interpersonal skills Preferred
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Unix environment In addition, prior experience working with parallel programming technologies including at least one of the following: MPI OpenMP CUDA HIP Kokkos Raja Preferred Qualifications: Experience