Summary
Travis Mccawley is a Principal Software Engineer specializing in AV and AI evaluation with eight years of automotive controls and autonomy experience across OEM and robotaxi environments. He designs and validates trajectory planning, propulsion and chassis control algorithms, and end-to-end evaluation metrics—work that spans MPC/LQR to modern learning methods. Having led simulation validation and metrics teams at Cruise and NVIDIA and architected AV control systems at General Motors, he excels at turning dynamics models into verifiable, production-ready software. Travis combines deep vehicle-level domain knowledge with a pragmatic focus on requirements, sensor/compute selection, and testable validation, and he’s particularly strong at bridging classic control theory with newer algorithmic approaches. Based in Seattle with an M.Eng and B.S. from UC Berkeley, he thrives where hands-on vehicle testing meets algorithmic innovation.
9 years of coding experience
5 years of employment as a software developer
Masters of Engineering (M. Eng) Mechanical Engineering, Masters of Engineering (M. Eng) Mechanical Engineering at University of California, Berkeley
Public High School, Public High School at Foothill High School