Rongqi Qiu
Software Engineer at Google
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRongqi Qiu is a software engineer with 11 years of experience based in Sunnyvale, California, currently building software at Google. He has deep hands-on experience in autonomous driving systems, contributing to Baidu USA’s simulation work and to the high-profile Apollo open-source platform—adding perception confidence levels, Dreamview visualization enhancements, and a CAN bus module to bridge perception with low-level vehicle control. Rongqi’s background blends applied research and product engineering, from PhD-level work in computer science and 3D reconstruction to shipping production features at scale. Known for resolving complex merge conflicts and integrating front-end and back-end changes, he navigates both systems-level and visualization challenges. His trajectory shows a consistent focus on perception, simulation, and tooling that make advanced autonomy both interpretable and actionable.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Southern CaliforniaBachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Tsinghua University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
c-language10
apollo10
cprogramming-language10
autonomous-driving10
self-driving-car8
Programming languages (2)
Github contributions (5)
ApolloAuto/apollo
Oct 2017 - Nov 2017
An open autonomous driving platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:60 commits, 27 PRs, 2 pushes in 1 month
Contributions summary:Rongqi's primary contribution involves adding confidence levels to perception obstacles and integrating them into Dreamview for visualization. This includes implementing obstacle confidence levels, resolving merge conflicts, and modifying the Dreamview frontend. Furthermore, the user has added a canbus module which suggests the integration of low-level vehicle control systems. The focus area centers on enhancing the perception and visualization aspects of the autonomous driving platform.
autonomousmachine-learningautonomyautonomous-drivingapollo
rongqiqiu/thin_structure_reconstruction
Sep 2016 - Jan 2017
Contributions:48 commits, 43 pushes, 1 branch in 3 months
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