Rongqi Qiu - Software Engineer at Google

Rongqi Qiu

Software Engineer at Google

Sunnyvale, California, United States

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Summary

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Rockstar

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Top School

Rongqi 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 California

Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Tsinghua University

English, Chinese

Stackoverflow

Stats

1reputation

0reached

0answers

0questions

Github Skills (5)

c-language10

apollo10

cprogramming-language10

autonomous-driving10

self-driving-car8

Programming languages (2)

C++Rich Text Format

Github contributions (5)

ApolloAuto/apollo

Oct 2017 - Nov 2017

An open autonomous driving platform

Role in this project:

Back-end Developer

Contributions: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.

autonomous-drivingapolloautonomous-vehiclesautonomyself-driving-car

rongqiqiu/thin_structure_reconstruction

Sep 2016 - Jan 2017

Contributions:48 commits, 43 pushes, 1 branch in 3 months

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