Shichao Yang
Staff Software Engineer at Tesla
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolShichao Yang is a Staff Software Engineer with a PhD in Robotics from Carnegie Mellon and nine years of experience building vision-based SLAM, state estimation, and scene-understanding systems for companies like Tesla and Facebook Reality Labs. He has led city-scale 3D mapping, visual-inertial odometry, and auto-labeling for Autopilot, and contributed core backend and MLOps improvements to the well-known CubeSLAM monocular 3D object detection and SLAM project. Comfortable bridging research and production, he routinely turns academic advances—semantic object-and-plane SLAM and Kalman-filter-based state estimation—into scalable pipelines for autonomous vehicles and AR/VR. Based in Palo Alto, he combines deep algorithmic expertise with hands-on deployment and sensor-calibration experience, often tackling the messy real-world problems that separate prototypes from robust products.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Robotics, Doctor of Philosophy (PhD) Robotics at Carnegie Mellon UniversityBachelor's degree Mechatronics and Automation, Bachelor's degree Mechatronics and Automation at Shanghai Jiao Tong University
Github Skills (11)
object-detection10
computer-vision10
c-language10
cprogramming-language10
slam10
eigen9
cmake8
docker4
kubernetes4
dockers4
kubernetes-pods4
Programming languages (3)
Github contributions (5)
shichaoy/cube_slam
Oct 2018 - Nov 2020
CubeSLAM: Monocular 3D Object Detection and SLAM
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:8 commits, 6 pushes, 36 comments in 2 years 1 month
Contributions summary:Shichao made several commits focused on enhancing the "CubeSLAM" project, a monocular 3D object detection and SLAM system. Their contributions included modifying camera pose handling and integrating object detection functionality. They also worked on installation scripts, suggesting involvement in the build and deployment process. These changes indicate a focus on improving the core functionality and integration aspects of the system.
3d-object-detection
shichaoy/pop_up_slam
Oct 2018 - Apr 2019
Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments
Contributions:7 commits, 8 pushes, 23 comments in 6 months
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