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leadership for the deployment of compute- and data-intensive computing environments, partnering closely with system vendors, national laboratories, and the broader HPC research community to shape the
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massively parallel computing systems, including GPU-accelerated platforms. Develop and maintain scientific software, primarily in Python , using modern practices for software development, testing
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, transforming, and managing structured and unstructured data. Extensive experience working with high-performance computing resources, including utilizing job schedulers, parallel programming, and managing
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, transforming, and managing structured and unstructured data. Extensive experience working with high-performance computing resources, including utilizing job schedulers, parallel programming, and managing
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Storage Scale) parallel file system, to keep research computing services reliable and performant. Contribute to the build, deployment, and operations of a new NIST 800-171–compliant secure research
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resources, interconnects, system software, and heterogeneous execution environments. Explore and analyze different quantum computing modalities and architectures and investigate their integration with HPC
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 2 months ago
and his team to help manage the data application, storage and transfer, and package the developed tools for Linux/Mac/Windows platforms, accelerate the program with parallel computing techniques
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quickly and functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed
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algorithmic intent, architectural constraints, and performance models—driving system co-design across the entire computing stack. Major Duties/Responsibilities: LLVM Compiler Innovation : Advance the LLVM