Zixu Zhang is a Senior Machine Learning Engineer with nine years of experience applying robotics, perception, and planning research to real-world autonomous systems. He completed a PhD at Princeton after earning a robotics MSE from the University of Michigan and a mechanical engineering BS, and has focused on robot decision-making and planning under uncertainty at scale. Zixu has contributed to autonomy stacks at Tesla (FSD) across two roles and built sensor- and data-focused systems during research and industry stints at Michigan, Magna, and UIUC. He brings a rare combination of academic rigor—teaching a graduate self-driving course and publishing research—and hands-on engineering, from ROS-integrated platforms and sensor calibration to production ML for driving. Based in New Jersey, he excels at bridging research and scalable deployment, often tackling robustness and calibration challenges that are easy to overlook but crucial for safe autonomy.
9 years of coding experience
9 years of employment as a software developer
Master's degree, Robotics, 4.0/4.0, Master's degree, Robotics, 4.0/4.0 at University of Michigan
University of Illinois Urbana-Champaign
High School, High School at Ningbo Yinzhou High School
Doctor of Philosophy - PhD, Electrical & Computer Engineering, Doctor of Philosophy - PhD, Electrical & Computer Engineering at Princeton University
This repo hosts lab materials for the ECE 346 - Intelligent Robotics System - at Princeton University.
Contributions:6 releases, 1 review, 91 commits in 1 year
eceroboticsprincetonhostslab-materials
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Zixu Zhang - Senior Machine Learning Engineer at Tesla