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solutions on modern HPC and GPU-accelerated systems. This role includes supporting climate and geophysical science applications, enabling large-scale AI training and inference workflows, and contributing
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Processing Unit (GPU) hardware. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed
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research skills, evidenced by high-quality publications in top-tier machine learning/AI conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking a Machine Learning Research Scientist who
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | 2 months ago
, translating business and research requirements into feasible solution designs. Independently plan, manage, and execute complex IT, infrastructure, and security projects within a hybrid cloud environment. Design
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documentation practices. Experience with GPU-accelerated hardware platforms and software engineering including NVIDIA GPUs and CuPy/CUDA/C++ programming. Familiarity with 5G/6G wireless standards and AI/ML
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their understanding and utilization of HPC resources. KNOWLEDGE Required Knowledge of a variety of HPC systems (CPU, GPU, storage systems, file systems, networking, virtualization, job schedulers (Slurm) and scientific
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-day reliability and long-term evolution of clustered compute, GPU resources, high-performance storage, and the scheduler/tooling that support research at scale. Drives a culture of operational
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of Texas (a defined benefit retirement plan) Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
. Two years of experience using shared HPC resources and experience assisting or training others. (Experience may include time while doing graduate studies.) Experience with GPU programming for scientific