Phil Duan is a Sr. Staff Software Engineer leading Autopilot perception efforts at Tesla in Sunnyvale, bringing a decade of experience building production-grade ML systems for autonomous vehicles. He heads teams focused on occupancy networks, object detection, behavior prediction, auto-labeling, and online perception—closing the loop from research prototypes to scalable, real-time pipelines. His background combines optics and electrical engineering (B.S. from Wuhan University of Technology; M.S. and Ph.D. in Electrical Engineering from Ohio University), giving him deep domain knowledge in sensing and signal processing. Known for driving cross-functional engineering at scale, he emphasizes automated data labeling and continuous online perception updates to improve fleet performance. Based in the heart of Silicon Valley, he balances rigorous academic training with hands-on delivery in one of the world’s most demanding real-time AI systems. He rarely checks LinkedIn, so direct messages are the best way to reach him about Tesla AI opportunities.
10 years of coding experience
Master of Science (M.S.), Electrical Engineering, Master of Science (M.S.), Electrical Engineering at Ohio University
B.S., Optic Information Science and Technology, B.S., Optic Information Science and Technology at Wuhan University of Technology
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Phil Duan - Sr. Staff Software Engineer, Autopilot at Tesla