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experiments, particularly ATLAS and DUNE. Contribute to the architecture and core development of the Phlex framework, emphasizing scalable, multi-threaded, and heterogeneous (CPU/GPU) computing models
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. Experience with cloud technologies, software, interfaces/APIs and containers. Experience with (and enthusiasm for) modern computing architectures including GPUs and other Accelerators. Experience in working
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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 or equivalent
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