Mark Peng
Engineering Manager at Tesla
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolMark Peng is an engineering manager with 12 years of experience building teams that deliver high-quality software and continuously improve developer productivity. At Tesla he has moved from staff software engineer work on Navigation tooling and automation to leading org-wide efforts to streamline releases and reduce engineering pain. His background includes automation and QA-focused roles at Palantir and early work on next-gen VR platforms at High Fidelity, giving him a blend of systems, tooling, and user-facing platform experience. Trained in Symbolic Systems with an AI concentration at Stanford, he combines analytical rigor with hands-on engineering and a penchant for automation-driven quality improvements. Based in San Francisco, he’s known for turning complex infrastructure and testing challenges into repeatable processes that scale across large engineering organizations.
12 years of coding experience
6 years of employment as a software developer
B.S. Symbolic Systems - Concentration in Artificial Intelligence, B.S. Symbolic Systems - Concentration in Artificial Intelligence at Stanford University
Spanish, Chinese, English
Github Skills (4)
render10
openxr10
openvr10
virtual-reality8
Programming languages (1)
Github contributions (5)
mvpeng/mp-website
Apr 2016 - Nov 2016
Contributions:21 pushes, 1 branch in 7 months
mvpeng/bpm-playlists
Jul 2016 - Jul 2016
Contributions:31 pushes, 1 branch in 10 days
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