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projects. You will be responsible for managing and supporting the Science Data Processor High Performance Computing (HPC) infrastructure, including platforms, workload/resource managers, and parallel
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possibly involving statistical or graphics software. Perform some non-routine analyses or technology development using a range of techniques, often working on several parallel and competing tasks. Work with
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firmware development and/or programming for embedded systems, along with familiarity with modern development practices such as version control, CI/CD, and testing. Knowledge of FPGA technologies, control
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