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parallel programming and/or high-performance computing, particularly on GPU or FPGA architectures; Knowledge of compression techniques, including predictive coding, filter banks, transforms, and statistical
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. Experience in hardware–software integration, GPU/FPGA acceleration, or translation of research into prototype systems would be an added advantage. Ability to work independently while contributing effectively
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
development, including grant writing and academic presentation. Have access to the largest academic computing cluster in the world, including the largest GPU cluster. Application Materials Applicants should
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expertise in optimisation; Computer Science, with expertise in design and analysis of algorithms and high-performance (GPU) computing; Industrial and Systems Engineering, with AI in process mapping and Conops
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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Python and experience with GPU cluster environments (e.g., SLURM) are a plus. Special Instructions Please provide a CV, a Research Statement, and two or more letters of recommendation. The target start
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computational resources (with GPUs) A collaborative environment across research fields, including plant biology, quantitative genetics, and population genetics Opportunities for collaboration and research visits
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., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members
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Interest & knowledge about oncology & immunology, molecular & cellular mechanisms Work with ML + generative AI + GPUs at scale Experience with clinical or biomedical data and workflows Enjoy multimodal
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). Resources: Access to a project-dedicated H200 GPU cluster, travel funding for top-tier conferences, and the broader compute resources of the Vector Institute/Digital Research Alliance of Canada. How to Apply