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for advancing AI/ML methodology Assist with code optimization and integration into Department of Energy (DOE’s) applications running on the exascale computer systems with GPU accelerators We are looking for: PhD
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storage and archiving solutions to collaboration and analytics tools. ARC also delivers Baskerville; a leading GPU accelerated National Compute Resource (NCR) and supports researchers using specialist
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general experience in software development, computing, GPU computing, and data management for the support of AI projects. An ideal candidate also has a good understanding of recent advancement in AI and
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orchestration, and high-throughput data processing, as well as experience working with large biological datasets in GPU-based computing environments. What we provide: A competitive compensation package, with
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have access to state-of-the-art facilities and major cyberinfrastructure investments, including the Advanced Research Computing Center (ARCC), the NCAR-Wyoming Supercomputing Center (NWSC), GPU computing
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storage and archiving solutions to collaboration and analytics tools. ARC also delivers Baskerville; a leading GPU accelerated National Compute Resource (NCR) and supports researchers using specialist
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resources, including the Texas Advanced Computing Center (TACC) , and multiple HPCs on campus , including some GPU-heavy clusters. University of Texas at Arlington Research Institute (UTARI) Center
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for candidates with experience in ML model deployment, workflow orchestration, and high-throughput data processing, as well as experience working with large biological datasets in scalable GPU-based computing
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datasets in scalable GPU-based computing environments. What we provide: A competitive compensation package, with comprehensive health and welfare benefits. A supportive team environment that promotes
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advanced C++ development, including multi-threading, CMake, and Eigen Familiarity with GPU-based computing concepts such as CUDA Understanding of industrial communication protocols such as Ethernet, USB