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. • Experience with image processing. • Experience with Intel IPP, Intel MKL, Intel oneAPI, Matlab, CUDA, and real-time audio processing. • Experience with C++, Java, and Python. *Incumbent will be
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efficiency for serving massive models. Research and implement cutting-edge optimization strategies at the kernel level (e.g., FlashAttention, custom CUDA/ROCm kernels). Build robust data pipelines
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rendering into medical imaging workflows. A major focus will be on accelerating inference and training using GPU-optimised components, including custom CUDA kernels. This role offers a unique opportunity to
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). You have good experience in Python/Matlab and can learn a new programming language rapidly. Experience with other image processing tools & libraries (e.g. OpenCV, PyQt, CUDA) is a plus. You are used
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researchers to integrate computing techniques into research activities using common HPC programming languages, tools, and techniques including Fortran and/or C/C++, MPI, OpenMP, CUDA An equivalent combination
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current practice). Demonstrated expertise in AI/ML. Proven track record in application performance optimization. Advanced experience with parallel programming models (e.g., OpenMP, MPI, CUDA). Extensive
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#CA-DS The Technician staff are responsible for drug storage, preparation and distribution of medications throughout UCDMC under the supervision of a pharmacist and perform maintenance and inventory functions. The Technician staff fill first doses and batch doses for both IV and UD medications,...
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dynamics (algorithms and current practice). Experience in AI/ML. Experience in application performance optimization. Familiarity with parallel programming models (e.g., OpenMP, MPI, CUDA). Experience
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current practice). Demonstrated expertise in AI/ML. Proven track record in application performance optimization. Advanced experience with parallel programming models (e.g., OpenMP, MPI, CUDA). Extensive
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, CUDA) and good understanding of hardware used in large scale HPC clusters such as hybrid CPU+GPU systems, memory hierarchies and file systems; experience with job schedulers (e.g., Slurm, FLUX) and