Summary
Yuesong Xie is a software engineer with a Ph.D. in Mechanical Engineering from Purdue and over a decade of hands-on R&D building perception, planning, and validation systems for autonomous vehicles and delivery robots. He has led cross-functional teams at NIO and Waymo-class organizations to create production-grade perception validation frameworks and safety-critical perception stacks, achieving real-world milestones such as >99% autonomous parking success for battery-swap stations. Proficient in C/C++, Python, ROS and PyTorch, he specializes in sensor fusion, computer vision, and multimodal Visual-Language-Action models, bridging deep research with mass-production deployment. He also mentors and taught full-stack autonomous system integration (perception, planning, control) and has practical experience implementing LiDAR+camera 3D detectors and LOAM mapping that performed strongly on KITTI benchmarks. Based in the San Francisco Bay Area, Yuesong combines rigorous academic modeling background with pragmatic product delivery for robotic mobility systems.
10 years of coding experience
15 years of employment as a software developer
Bachelor’s Degree Modern Mechanics, Bachelor’s Degree Modern Mechanics at University of Science and Technology of China
Doctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at Purdue University
High School, High School at Hangzhou Foreign Language School
English, Chinese