Zetian Zhang is a software engineer with 11 years of experience specializing in motion, path and trajectory planning for autonomous systems, currently building perception-to-control solutions at Waymo in San Jose. He combines deep academic training—a Ph.D. focus on motion planning and optimal control—with hands-on L4 autonomy experience leading motion planning modules and decision-making features for urban driving. His work at SAIC delivered a 50x improvement in disengagement rate through robust trajectory optimization and real-world validation across San Jose and UC Davis, and he contributed navigation-science work at Amazon Scout. Comfortable with algorithms ranging from A*, RRT*, iLQR to sequential convex programming, he bridges control theory and practical engineering to ship safe, testable autonomy stacks. Based in the Bay Area, he brings a pragmatic researcher’s mindset to large-scale system integration and on-road validation, and off the clock his GitHub profile hints at a long-standing appreciation for software freedom.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Computer Science, 3.14/4.0, Bachelor of Science (BS), Computer Science, 3.14/4.0 at University of Shanghai for Science and Technology
Master of Science (MS), Mechanical Engineering, 4.0/4.0, Master of Science (MS), Mechanical Engineering, 4.0/4.0 at Worcester Polytechnic Institute
Contributions:3 commits, 3 pushes, 1 branch in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.