Vehicle System Engineer

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.

These engineers plans and execute vehicle builds, configures sensors, setup compute hardware, check harnesses, and utilize related equipment. They verify the functionality of the vehicle and data-collection systems. They also perform computer-based integration activities, including flashing software and firmware, configuring ECUs and development computers, confirming hardware and software versions, reviewing logs and diagnostic data, and supporting bench and in-vehicle debugging.

In addition, these engineers investigate technical issues, reproduce failures, coordinate root cause analysis with other engineering and operations teams, track corrective actions, and drive issues through resolution. They support data-collection activities by preparing vehicles, monitoring system performance, documenting build configurations and test results, and coordinating timely issue resolution to ensure vehicles are safe, reliable, and ready for use.

Required Qualifications

• 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/SimulinkPythonC/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.

Preferred 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.

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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