Peter Schleede

Peter Schleede is an experienced software engineer currently working at Zoox since April 2020, specializing in Prediction and Behavior Machine Learning, where contributions include leading the development of a foundation model for general behavior tasks and creating decision-making algorithms for vehicle interactions. Prior to Zoox, Peter held roles at Kitty Hawk as a Software/Controls Intern and at Aptiv as a Computer Vision Intern, focusing on predictive control and sensor fusion algorithms. Educational credentials include a Master of Science in Mechanical Engineering from Stanford University and a Bachelor of Science in Mechanical Engineering from Brigham Young University. Over the course of the career, Peter has contributed to numerous patent applications and developed key technologies in advanced algorithm design and machine learning for vehicle systems.