Shiyu Song
Staff Engineer And TLM at Waymo
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolShiyu Song is a seasoned autonomy leader and staff engineer with ~8 years of experience building mapping, localization, and perception systems for self-driving vehicles, now focusing on dynamic scene understanding and mapping at Waymo. He helped found Baidu’s autonomous driving program and drove production-grade HD map pipelines and multi-sensor fusion localization that achieved fleet-scale, 5–10 cm accuracy and powered landmark demos and deployments. At TuSimple he led the calibration and mapping efforts behind the company’s first fully autonomous long-haul semi-truck run, and later guided SafeAI’s transition to learning-driven autonomy for heavy industrial vehicles deployed in mines and construction sites. His background spans both deep research (PhD-level training at UC San Diego) and hands-on production engineering, with strengths in scaling map services, sensor calibration, and integrating learned models into safety-critical stacks. Notably, he blends academic publication experience with fielded systems that operate across urban, highway, and subterranean environments.
8 years of coding experience
11 years of employment as a software developer
University of California, San DiegoBachelor's degree Electrical Engineering, Bachelor's degree Electrical Engineering at Tsinghua University
Chinese, English
Github Skills (8)
apollo8
self-driving-car6
autonomous-driving6
machine-learning5
autonomous-vehicles5
autonomy4
beamer3
tex2
Programming languages (3)
Github contributions (5)
songshiyu01/songshiyu01.github.io
Jul 2021 - Jan 2023
Contributions:5 commits, 59 pushes, 1 branch in 1 year 6 months
songshiyu01/academic-kickstart
Feb 2018 - Jul 2023
Contributions:52 pushes in 5 years 5 months
hugohugo-theme
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