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and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self
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systems • Strong computational background Preferred Qualifications • Experience with GPU programming, shaders, or advanced rendering techniques • Experience integrating external APIs or live data
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, scalability, and cost requirements. • HPC Management: Design, develop, and optimize resource management tools and Slurm GPU plugins for supercomputing clusters. • Deployment & Automation: Oversee
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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 in
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Mathjobs.org | about 1 month 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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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | 9 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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implementing high performance signal processing algorithms on resource constrained hardware Experience using FPGA development tools such as Vivado and LiteX Experience using GPU compute frameworks such as
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Pontificia Universidad Católica de Chile | 2 months ago
. Additionally, the IA-PUC/AIUC hosts two supercomputers and a GPU cluster, available for numerical simulations, large databases, and data analyses. In anticipation of the ANID FONDECYT call for applications
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pretraining and fine-tuning is a plus · Experience with multi- GPU or distributed training is a plus · Ability to work independently as well as part of an interdisciplinary team in a fast-paced
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interdisciplinary team and supported by cutting-edge HPC and GPU infrastructure, you will contribute to internationally leading research, publish in high-impact journals and present your work at