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management techniques Experience of optimisation of applications such as R, Matlab, Nagios, SLURM, Open Stack, Cuda, Sigmaplot, Exceed, Graphpad, Cognos, Shiny Apps, Docker, experience of shell scripting
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, CompTIA Network+/Security+; Experience with GPU environments (NVIDIA preferred), CUDA drivers, and related tools; Experience in research labs, AV systems, and hybrid on-prem/cloud setups. Job Duties and
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computing (HPC) systems, including GPUs, and programming, such as using CUDA, MPI, AI/ML/DL, and advanced debuggers and performance analyzers. Familiarity with working on open-source projects. About UF
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, CUDA. B3 Knowledge of UK data protection laws and certification and accreditation schemes related to the processing of sensitive data for research. Skills Essential: C1 Excellent strategic leadership
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Computing (HPC) knowledge around cluster builds, software, parallel computing, workload management, and cluster management. Knowledge with CUDA Programming Workflows, GPU programming, and GPU support
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using GPU/CUDA clusters for AI/ML and/or image processing. Proven ability to work in a dynamic environment and support large data systems. Effective documentation skills, including ability to prepare
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Linux kernel internals, computation accelerators (e.g., GPU computing, CUDA), MPI, and OpenMP. Highly resourceful and adept at juggling multiple simultaneous projects. Must demonstrate ability to work
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computer science, mathematics or an equivalent with above-average performance You have very good knowledge in one of the following areas: Programming skills in Python, C++ or CUDA Deep learning frameworks
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optical metrology Experience in the field of software development and/or corresponding programming languages (Python, C++, CUDA and/or MATLAB). Experience in the design of system- or software architectures
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. Familiarity with data formats common in scientific domains such as medical imaging, genomic sequences, proteins, chemical structures, geospatial, oceanographic, and heath record data. Experience in CUDA GPU