Vehicle System Engineer

About the Role

The Super Cruise Vehicle Systems Engineer supports the build, integration, and readiness of data collection vehicles used to develop and validate Super Cruise. This role works across physical hardware, software, vehicle sensors, compute systems, and data-logging equipment.

Key Responsibilities

• Plan and execute vehicle builds.
• Configure sensors.
• Setup compute hardware.
• Check harnesses and utilize related equipment.
• Verify the functionality of the vehicle and data-collection systems.
• Perform computer-based integration activities, including flashing software and firmware.
• Configure ECUs and development computers.
• Confirm hardware and software versions.
• Review logs and diagnostic data.
• Support bench and in-vehicle debugging.
• Investigate technical issues and reproduce failures.
• Coordinate root cause analysis with other engineering and operations teams.
• Track corrective actions and drive issues through resolution.
• Prepare vehicles for data-collection activities.
• Monitor system performance.
• Document build configurations and test results.
• Coordinate timely issue resolution to ensure vehicles are safe, reliable, and ready for use.

Requirements & Tech Stack

• Bachelor degree in Systems Engineering, Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, Mechatronics, or a related field.
• Basic understanding of vehicle sensors, including cameras, radar, and lidar.
• Experience with at least one technical programming or analysis tool, such as:
• MATLAB/Simulink
• Python
• C/C++
• Power BI
• SQL
• Ability to read system block diagrams, interface specifications, and technical requirements.
• Basic knowledge of control systems, signal processing, embedded systems.
• Strong analytical, problem-solving, communication, and teamwork skills.
• Ability to organize technical information and work effectively in a cross-functional environment.
• Valid driver’s license and willingness to support vehicle testing, when required.

Qualifications

• Familiarity with automotive communication networks such as CAN, LIN, or Automotive Ethernet.
• Internship, co-op, capstone, or project experience in automotive, robotics, autonomous systems.
• Exposure to data analysis, simulation, test automation, or HIL testing.
• Master’s degree or relevant coursework in controls, robotics, machine learning, or computer vision.

Compensation

• Salary range: $85,420 to $125,000.
• Bonus Potential: Incentive pay program based on company, job level, and individual performance.

Benefits

• Health and wellbeing benefit programs including medical, dental, vision, Health Savings Account, Flexible Spending Accounts.
• Retirement savings plan.
• Sickness and accident benefits.
• Life insurance.
• Paid vacation & holidays.
• Tuition assistance programs.
• Employee assistance program.
• GM vehicle discounts.

Relocation

• This job may be eligible for relocation benefits.

Location

• Hybrid from Warren, MI.