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) general-purpose hardware such as accelerators for AI and ML, high-performance computing, low-power edge computing, quantum computing, cybersecurity, chiplets, and CPU, TPU, GPU, and FPGA systems; or (2
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libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA
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a member of the Canadian Centre for Computational Genomics (C3G) ARC team, the Software Infrastructure Developer (Cloud Analyst) will be supporting scientific research platforms deployed on the newly
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training aids, test equipment, shop equipment, and hand tools Perform routine maintenance on fixed and rotary wing aircraft Operate and maintain ground support equipment (e.g., tugs, forklifts, GPUs, snow