Autonomous Driving Software Engineer at Mercedes-Benz Research & Development North America, Inc.
California, United States
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Summary
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Senior
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Top School
Enpei Zhao is an autonomous driving software engineer with eight years of experience building parking, driving, and end-to-end vehicle autonomy features for US markets. Based in California, he has worked at Mercedes-Benz R&D and NVIDIA on next-generation driving systems and previously contributed to cloud-based RPA at UiPath and advanced hardware control research at the University of Michigan. He holds graduate training in Control of Robotic and Autonomous Systems from UC Berkeley and dual undergraduate degrees in Computer Science and Mechanical Engineering, combining algorithmic rigor with mechanical intuition. Enpei’s background spans industry-grade production autonomy and cutting-edge academic research, including nano-printing machine control and topology optimization for aerial vehicles—skills that translate into practical, cross-disciplinary solutions. He is comfortable shipping complex systems at scale and bridging the gap between research prototypes and production vehicle software.
8 years of coding experience
3 years of employment as a software developer
Master of Engineering Control of Robotic and Autonomous Systems, Master of Engineering Control of Robotic and Autonomous Systems at University of California, Berkeley
Double Bachelor of Science Computer Science and Mechanical Engineering, Double Bachelor of Science Computer Science and Mechanical Engineering at University of Michigan
High School Diploma, High School Diploma at Chengdu No.7 High School
Bachelor of Science Mechanical Engineering, Bachelor of Science Mechanical Engineering at University of Illinois Urbana-Champaign
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Enpei Zhao - Autonomous Driving Software Engineer at Mercedes-Benz Research & Development North America, Inc.