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to transforming NUS into a leading global University shaping the future. https://nusit.nus.edu.sg/ Job Description The role is for an experienced HPC (High-Performance Computing) Architect or Engineer to take a
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Position Description An Associate in Research position is available in the Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in
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managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a
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computing environments, e.g. HPC cluster (CPUs and GPUs) or cloud. Proficiency with high-performance computing and system architecture. Advanced knowledge relating to highly complex database system design
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managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a
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to the continuous improvement of research support services across the faculty. This position offers the opportunity to work on a diverse range of technologies, from Linux systems administration and networking to GPU
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of a variety of HPC systems (CPU, GPU, storage systems, file systems, networking, virtualization, job schedulers (Slurm) and scientific applications) Expert knowledge of database, filesystem, networking
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conduct integration testing. • Write technical documentation, deliverables and API references. • Develop materials for AI training program. Where to apply Website https://applications.ucy.ac.cy/recruitment
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
computing environments (e.g., GPUs, distributed training). Experience mentoring graduate or undergraduate students. Special Physical/Mental Requirements NA Special Instructions For information on UNC
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infrastructure, model training, and inference systems. You'll design, develop, and optimize scalable data pipelines and build multi-node GPU training and inference pipelines for foundational models. You'll also