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, Computer Science, Experimental Subatomic Physics, or related fields. Relevant research experience in firmware programming (e.g. with VHDL) and resources optimization for specific FPGA architectures
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) general-purpose hardware such as accelerators for AI and ML, high-performance computing, low-power edge computing, quantum computing, cybersecurity, chiplets, and CPU, TPU, GPU, and FPGA systems; or (2
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implementing quality assurance and quality control (QA/QC) test Designing testbenches, and contributing to firmware programming for state-of-the-art FPGA architectures, primarily Intel FPGAs. Collaborating
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