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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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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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: Providing support with: - software maintenance and extension of a simulation package - the development of training material - processing of bug reports, user enquiries (mailing list), etc. - programming
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organizations. Primary responsibilities include: Support and manage the BigTex HPC cluster and UTD HPC clusters, install and manage the vast list of software required to support researcher needs. Keep software
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Experience with Pytorch, MONAI, CUDA or equivalent software libraries for developing deep learning models. Familiarity with medical image such as MRI, CT, or volumetric ultrasound. Knowledge on common medical
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. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time. Required
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construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time. Required Qualifications Education: Master's
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duties assigned to the Inpatient Pharmacy (CUDA, CIVA) Department Overview UC Davis Health is a nationally recognized leader in the provision of high-quality, patient-centered care, based in the Greater
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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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., optimization, dynamical systems, graph theory, probabilistic modeling) or adjacent fields with engineering impact. (4) Fluency in prototyping and software development (e.g., Python, C++, CUDA, or ML frameworks