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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
distributed computing setups, and the CUDA framework. Must have demonstrated expertise in marking parallel programs in various frameworks taught in the course, holding office hours, responding to emails, and
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., PyTorch, CUDA). Contribute to the ongoing development and maintenance of deployed applications (web frontend, mobile apps, and Flask API). Onboard new students and collaborators to lab resources, including
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computing Strong programming skills in C++ and experience with parallel computing (e.g., CUDA, MPI). Experience with tokamak edge gyro-fluid modelling Experience with continuous integration of scientific
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topic Prior programming experience in Python is a must, C++ and CUDA experience are a plus Familiarity with PyTorch and modern deep learning frameworks Experience in training and evaluating computer
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Programming: Python, CUDA, Git
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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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#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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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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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