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managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU systems) in cloud and/or on-prem environments. Familiarity with GPU orchestration in Kubernetes (e.g., NVIDIA device plugin, GPU scheduling
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. Excellent office, programming, and communication skills are essential. SPARC offers GPU/HPC infrastructure, large biomedical data assets, deep clinical partnerships, and direct opportunities to translate
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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platforms (GPU/accelerated workloads): capacity planning/quotas, cluster or managed compute configuration, distributed training concepts, performance tuning, and chargeback/showback in cloud environments.
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to communicate and collaborate effectively in an international and interdisciplinary research environment. Desirable skills Experience in high-performance computing, including parallel programming and/or GPU-based
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-electron density, its spatial confinement, relaxation behaviour, and the resulting modification of optical constants—providing the basis for next-generation advanced manufacturing steps for GPUs or CPUs. Be
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
. Two years of experience using shared HPC resources and experience assisting or training others. (Experience may include time while doing graduate studies.) Experience with GPU programming for scientific
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, virtualisation technologies and performance optimisation. Hardware acceleration technologies and modern compute architectures, including GPUs and high-performance networking technologies. Programming and scripting