Yize Wang is a senior software engineer specializing in autonomous driving algorithms with seven years of experience and a strong track record of shipping production features. He led delivery of China’s first mapless Highway Navigate-on-Autopilot (NOA) at DJI, managing a virtual team of 15 and serving as Agile coach while also designing map-based and mapless routing, intersection reference line generation, and reference line optimization. Now at NVIDIA, he focuses on road context interpretation and topological graph creation to bridge perception and planning stacks. Academically rigorous—ETH Zurich MS in Robotics and top-ranked undergraduate at Shanghai Jiao Tong—he combines theoretical optimization skills (Imperial College thesis) with pragmatic system-level impact, including a labelling-efficiency boost early in his career. Colleagues know him for clear cross-module communication and a knack for identifying and resolving thorny integration issues.
7 years of coding experience
3 years of employment as a software developer
Research Assistant, Mechanical Engineering, Research Assistant, Mechanical Engineering at University of Michigan
Master's Thesis, Optimization, 6.0 / 6.0, Master's Thesis, Optimization, 6.0 / 6.0 at Imperial College London
Master of Science - MS, Robotics, 5.7 / 6.0 (Rank: 10%), Master of Science - MS, Robotics, 5.7 / 6.0 (Rank: 10%) at ETH Zurich
Bachelor of Science - BS, Mechanical Engineering, 3.9 / 4.0 (Rank: 1/441), Bachelor of Science - BS, Mechanical Engineering, 3.9 / 4.0 (Rank: 1/441) at Shanghai Jiao Tong University
Contributions:45 pushes, 1 branch in 4 years 10 months
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