Daniel Stang
Senior Software Engineer at Zoox
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolDaniel Stang is a Senior Software Engineer with 11 years of experience specializing in autonomous vehicles, robotics, and motion control, currently writing vehicle software at Zoox. He holds an M.Sc. in Mechanical Engineering focused on control system design for automotive applications and was in the inaugural Udacity Self-Driving Car cohort led by Sebastian Thrun. His career spans C++ and Python development for motion controllers, ROS-based robotic systems, and production autonomous driving stacks at Mercedes‑Benz and Zoox. Practically minded from lab-built experimental rigs to production vehicle software, he combines control-theory rigor (PID, MPC, system identification) with hands-on systems engineering. An avid learner, he’s actively deepening expertise in reinforcement learning and robotics to bridge research techniques with safety-critical vehicle software. Based in Seattle, he brings a rare blend of academic control research and real-world autonomous-driving product experience.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.) Mechanical Engineering, Master of Science (M.Sc.) Mechanical Engineering at University of Alberta
Github Skills (14)
pid-controller10
autonomous-robots10
kalman-filter9
model-predictive-control9
azerothcore7
gazebosim6
gazebo-simulator5
ros5
robotics-simulation3
mpc1
sdk1
controller1
predictive1
arduino1
Programming languages (2)
Github contributions (5)
WuStangDan/kalman-filter-course-assignments
Jun 2018 - Dec 2019
Autonomous Robots: Kalman Filter
Contributions:23 commits, 10 pushes, 2 branches in 1 year 5 months
autonomous-robotskalman-filter
WuStangDan/mpc-course-assignments
Jul 2018 - Sep 2022
Autonomous Robots: Model Predictive Control
Contributions:20 commits, 19 pushes in 4 years 2 months
autonomous-robotsmodel-predictive-control
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