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be an expert within object oriented fortran, CUDA, HIP, build systems such as CMAKE and Autotools, the Github CI/CD platform and schedulers such as SLURM and LSF10. The candidate should hold a MSc in
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techniques. Preferred Qualifications: Knowledge of HPC matrix, tensor and graph algorithms. Knowledge of GPU CUDA and HIP programming Knowledge on distributed algorithms using MPI and other frameworks such as
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Slurm) and package managers (Spack or similar); and 12. Technologies for heterogeneous large-scale computing (CUDA-aware MPI). This position is eligible for LBNL's Employee Referral Program benefit(s
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++/Python/CUDA programming for real-time image processing. Experience in MRI pulse sequence programming, ideally on Siemens MRI platforms. Experience in MRI image reconstruction; motion and distortion
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. Experience with MatLab, CUDA and IDL programming preferred. About the Department School of Physics and Astronomy: https://cse.umn.edu/physics Pay and Benefits Pay Range: $15.25 - $20 per hour; depending
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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
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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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Pytorch, CUDA, Docker, vllm, TGI 6. Familiarity with platforms AWS, GCP, Azure, GitHub, HuggingFace, Spark/Airflow 7. Familiarity with Large Language Models and/or NLP will be advantageous 8