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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
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(including FPGA-based electronics and custom mechanical assemblies) and software solutions (LabVIEW, Python, and custom drivers) across multiple experimental platforms. The core mission of this position is to
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systems, high-throughput data acquisition pipelines, real-time computing, frame grabbers, FPGA-based systems, or instrument control hardware Expertise with modern software development practices including
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primarily on embedded hardware systems utilizing Field Programmable Gate Arrays (FPGAs), System on Chip (SOCs), multi-core processors, and a range of custom hardware interfaces. This position reports
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Hardware Engineer in the Data Acquisition Hardware Group who will use your skills architecting, constructing and programming data acquisition hardware systems composed of field programmable gate array (FPGA
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: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral
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development. Experience with DSP/FPGA/Microcontroller/Microprocessor (such as Raspberry Pi) platforms for controller development. Network and develop collaborative R&D with other groups and divisions internally