Michael Hamilton

Michael Hamilton is a highly experienced engineering professional specializing in software systems and sensor validation for autonomous technologies. Currently serving as a Staff Software Systems Engineer at Zoox since February 2024, Hamilton is focused on the verification and validation of simulation systems for autonomous driving robots. Prior experience includes roles at Applied Intuition and Cruise, where responsibilities involved sensor modeling and the validation of novel sensor designs, respectively. Early career contributions at Qualcomm encompassed ADAS and autonomy systems research and development, while time at Leidos involved managing embedded sensor signal processing for surveillance applications. Michael has also held positions at General Atomics, NURC, SAIC, Lockheed Martin ORINCON, and the U.S. Navy, progressing through increasingly complex projects. Educational credentials include a Master’s degree in Electrical Engineering from UC San Diego and bachelor’s and associate degrees in Physics/Computer Science and Liberal Arts, respectively.