Summary
Mingqi Shi is a SIL/HIL engineer with 11 years in the automotive industry and over six years focused on ADAS/AD virtual validation and solution development. Based in Novi, Michigan, he blends hands-on testing, MATLAB/Simulink model-based development, and C++/Python tooling to verify sensor, vehicle dynamics, and control algorithms in SIL/HIL/IPG Carmaker environments. His background spans OEM and supplier projects—from adaptive cruise and radar signal processing at General Motors to chassis brake-control modeling at Bosch—giving him a practical grasp of both algorithm design and system-level verification. Comfortable with dSPACE, CAN tools, Git/SVN and agile workflows, he also holds nanodegrees in Self-Driving Car Engineering and C++, reflecting ongoing investment in autonomous vehicle software. An uncommonly test-focused engineer, he prioritizes virtual validation to accelerate safe deployment of AD features.
10 years of coding experience
7 years of employment as a software developer
Master's degree, Mechanical Engineering, 3.40/4.0, Master's degree, Mechanical Engineering, 3.40/4.0 at Michigan Technological University
Nano Degree, Self Driving Car Engineer, Nano Degree, Self Driving Car Engineer at Udacity
Bachelor's degree, Engineering Physics/Applied Physics, 3.1/4.0, Bachelor's degree, Engineering Physics/Applied Physics, 3.1/4.0 at Jilin University
northestern normal high school
Northeast normal high school
English, Chinese