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will bridge the gap between high-performancehardware, cloud services, and practical user applications, ensuring that our AI platforms, from on-premises GPU clusters and sovereign data sandboxes to cloud
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learning and language models. ● Demonstrated experience analyzing large-scale health or biomedical datasets. ● Proficiency with Python, Git, and high-performance computing or GPU cluster
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | 10 days ago
computing and GPU acceleration. We seek applicants with a strong aptitude for research and a demonstrated ability to work at the interface of applied mathematics, scientific computing, and physics. The
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). Compensation: Competitive salary (80,000-90,000 CAD). Resources: Access to a project-dedicated H200 GPU cluster, travel funding for top-tier conferences, and the broader compute resources of the Vector
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control, and downstream analysis, including associated server, database, and integration with imaging sources.Establishes,maintains, and supports imaging analysis environment, including a GPU
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and training in GPU programming, data science applications, and scientific computing workflows for the SciNet advanced computing consortium. The incumbent supports users in designing, training, and
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designing and supporting high-performance computing (HPC) environments, including compute clusters, GPU-enabled systems, job schedulers (e.g., Slurm), and parallel computing workflows supporting