Steven Liu
Technical Expert - Low Speed Autonomy at Ford Motor Company
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolSteven Liu is a Technical Expert in Low Speed Autonomy at Ford with eight years of hands-on experience building safety-critical perception, localization, and control software for vehicles. He holds a Master of Engineering in Autonomous Vehicles from the University of Michigan and combines deep expertise in C/C++, embedded systems, and ISO 26262 functional safety with practical systems engineering. At Ford he has spanned roles from research software engineer to functional safety lead, delivering localization and mapping algorithms as well as managing safety for powertrain ECUs and over-the-air update architectures. He bridges algorithm development and productization—implementing real-time torque estimation and control, automated HIL test suites, and safety monitors deployed across vehicle programs. Based in Ann Arbor, he pairs low-level embedded debugging skills and model-based systems thinking with a track record of moving autonomy features from simulation to road-testing.
8 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree, Electrical Engineering, Bachelor’s Degree, Electrical Engineering at University of MichiganSensor Fusion Nanodegree, Sensor Fusion Nanodegree at Udacity
Github Skills (20)
kitti-dataset10
lidar10
slam10
ros9
odometry8
robotics8
pcl7
gnome7
modeling7
mobile6
gtk6
sysml6
c4model6
python6
algorithm6
Programming languages (3)
Github contributions (5)
stevenliu216/Lidar-Odometry-and-Mapping
Mar 2018 - Jan 2020
Lidar Odometry and Mapping (J.Zhang et.al). EECS/NAVARCH 568 (Mobile Robotics) Final Project
Contributions:31 commits, 14 pushes, 5 comments in 1 year 10 months
lidarmobileodometryroboticskitti-dataset
stevenliu216/ValetParking-MPC
Apr 2019 - Jul 2019
Contributions:50 commits, 3 pushes, 1 issue in 2 months
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