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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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in advanced firmware design for state-of-the-art FPGA architectures. The role involves working with industry-standard tools (e.g., Intel Quartus or AMD Vivado, Modelsim/Questa), implementing high-speed
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