Guodong Rong
Software Engineer, Reality Labs Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolGuodong Rong is a software engineer with 11 years of industry experience and decades of research background, currently leading the mobile compositor effort for Reality Labs at Meta where he designs graphics features across successive Quest devices. He has built production-grade VR/AR and autonomous vehicle simulation systems—from founding YouTube VR and Huawei’s AR Engine contributions to designing the widely used LGSVL simulator—bridging research rigor with product engineering. His work spans GPU-accelerated geometry, real-time rendering, SDK architecture, and large-scale simulation pipelines, and he has authored 20+ papers with over 1,000 citations. Comfortable leading cross-functional, geographically distributed teams, he also contributes to open autonomous-driving platforms like Apollo by integrating simulators and core cyber-bridge components. Guodong’s background uniquely combines low-level GPU/driver expertise (NVIDIA) with high-level system and SDK design, enabling practical innovations that move from papers to deployed products.
11 years of coding experience
13 years of employment as a software developer
Bachelor, Computer Science, Bachelor, Computer Science at Shandong UniversityPh.D., Computer Science, Ph.D., Computer Science at National University of Singapore
English, Chinese
Stackoverflow
1reputation
1kreached
0answers
2questions
Github Skills (15)
c-language10
apollo10
cprogramming-language10
autonomous-driving10
bash8
python8
bazel7
protobuf7
protobuffer7
build-system7
ios6
docker6
swift6
uiscrollview6
dockers6
Programming languages (6)
Github contributions (5)
ApolloAuto/apollo
Aug 2018 - Sep 2020
An open autonomous driving platform
Role in this project:
Full-stack Developer & DevOps Engineer
Full-stack Developer & DevOps EngineerContributions:16 commits, 10 PRs, 65 comments in 2 years 1 month
Contributions summary:Guodong contributed to integrating the LGSVL simulator with the Apollo autonomous driving platform, adding map and calibration data for vehicle simulation. They implemented core functionalities for cyber_bridge, including client and server components. They also made substantial changes to build configurations, added configurations files for the LGSVL simulator, and updated the boot and camera scripts, demonstrating a good understanding of system integration and deployment.
autonomousmachine-learningautonomyautonomous-drivingapollo
rongguodong/GearVRf
Apr 2015 - Sep 2015
Contributions:99 pushes, 25 branches in 5 months
virtual-realityandroid-devicessupportedandroidrendering
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