Summary
Yuan Feng is a software engineer with a decade of experience building high-fidelity simulation and multimodal systems for autonomous vehicles and robotics, currently working on special projects and LLM/multimodality at Apple. He has led physics and ragdoll simulation, sensor-aware scene modeling, and performance optimizations at Cruise, and built photorealistic, distributed multi-GPU rendering and simulation stacks at TuSimple and Autel to train perception and depth models. Yuan combines a PhD in computational mechanics with hands-on engineering across middleware, SLAM, planning, and simulation fidelity, enabling cross-disciplinary solutions that reduce cost and improve safety. He’s noted for driving tooling quality to zero-malformed-assets, integrating simulation with in-house foundation models like DriveGPT, and translating research-grade techniques into production systems. Based in the Bay Area, he’s a fast learner and pragmatic problem-solver who thrives at the intersection of physics, perception, and large-scale engineering.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computational mechanics, Doctor of Philosophy - PhD Computational mechanics at University of California, Davis
Bachelor's degree, Bachelor's degree at Beijing Jiaotong University