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Actions Home Help Job Description More Actions UC Davis Health Careers Sign In New User Previous Job Job Title Pharmacy Technician 2 (CUDA EVE) Next Job Apply for Job Job ID 78096 Location Sacramento Full
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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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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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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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needs as well as the ability to work in teams Desirable qualifications Knowledge of German Special knowledge in one of these areas is a plus: HPC (e.g., Workload Scheduler, CUDA, Infiniband) Storage (e.g
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• Familiarity with operating HPC clusters (e.g., bash, Python) Preferred Qualifications • HPC programming skills (e.g., modern Fortran or C/C++) • Parallel programming skills (e.g., OpenMP, MPI, OPENACC, CUDA
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LLM training Bright Cluster Manager Pyxis/enroot CUDA System and storage benchmarking DataDirect Networks (DDN) SFA high-performance storage systems Working Conditions This is a hybrid position, in
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program at Queen’s, which already includes 38 full-time Faculty and over 200 graduate students and postdocs. The preferred start date for the position is July 1, 2026. Tier 2 Canada Research Chair Canada
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, VMware. Experience building and running containerized applications in an HPC environment. Knowledge of Apptainer, Warewulf, Fuzzball. Experience managing systems using GPU/CUDA clusters for AI/ML and/or
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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