Ludwig Computing is developing energy-efficient AI compute hardware and software. They seek a Hardware Engineer intern to work on FPGA-based prototyping, hardware bring-up, and custom processing module design using Verilog, VHDL, or HLS. The role involves translating architectural concepts into FPGA prototypes, simulation, benchmarking, and system integration. Candidates should have FPGA development experience, digital logic knowledge, and be pursuing an engineering degree. The internship offers hands-on experience with advanced AI compute architectures and mentorship in hardware-software co-design.
Ludwig Computing is a company that provides chip design solutions. It aims to reduce chip size and power consumption by combining electronic devices and novel circuits and using a minimal number of components.
