Sr. System Test Engineer - HiL

About the role

Join our Systems Test team, where we validate the safety and performance of Torc’s autonomous driving system through hardware-in-the-loop (HiL) testing and simulation. Our team operates at the intersection of software, hardware, and autonomy, ensuring that complex system behaviors are thoroughly tested before deployment to vehicle platforms.

Responsibilities

• Design, develop, and maintain HiL test benches to support validation of autonomous driving software and system-level functionality
• Define and execute test strategies, test cases, and validation plans based on system requirements, safety goals, and integration needs
• Develop and maintain automated test scripts and frameworks to improve test coverage, repeatability, and efficiency
• Integrate hardware and software components into HiL environments, managing interfaces, data flows, and synchronization across subsystems
• Conduct verification and validation (V&V) activities in alignment with safety standards such as ISO 26262
• Support the integration and validation of new autonomy features across perception, sensor fusion, and vehicle control systems
• Utilize tools and frameworks such as ROS/ROS2, CAN-based systems, and simulation platforms for testing and debugging
• Analyze test results, investigate system-level issues, and collaborate cross-functionally to drive resolution
• Document test procedures, results, and defects, and communicate findings to engineering and program stakeholders
• Continuously improve HiL infrastructure, tooling, and workflows to support scalable and efficient testing

Requirements

• Bachelor’s degree with 5+ years of experience, or Master’s degree with 3+ years of experience in Electrical Engineering, Computer Science, Robotics, Automotive Engineering, or a related field
• Strong experience with Hardware-in-the-Loop (HiL) testing, including test bench setup, integration, and maintenance
• Experience working with HiL platforms such as dSPACE, National Instruments (NI), Vector, or similar systems
• Solid understanding of autonomous driving systems, including sensors (LiDAR, radar, cameras), perception, sensor fusion, and vehicle dynamics
• Experience developing and executing test cases and validation plans for complex systems
• Proficiency in Python and/or C++, with experience building test automation and tooling
• Experience with ROS/ROS2, including node development, system integration, and debugging tools (e.g., rviz, rosbag)
• Familiarity with CAN protocols and tools such as CANoe, CANalyzer, or similar
• Experience integrating complex systems across hardware and software boundaries
• Strong problem-solving skills and ability to debug system-level issues in complex environments
• Able to collaborate effectively with cross-functional teams in a fast-paced environment

Qualifications

• Experience testing autonomous vehicles or ADAS systems in production or pre-production environments
• Familiarity with simulation frameworks or model-based development tools
• Experience supporting safety-critical system validation and regulatory requirements
• Experience working in Agile or SAFe environments
• Exposure to cloud-based data systems or large-scale test data analysis

Benefits

• Competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees
• 401K plan with a 6% employer match
• Flexible schedule and generous paid vacation (available immediately after start date)
• AD+D and Life Insurance

Pay

$139,000 - $166,800 USD

Schedule

Hybrid work location in Ann Arbor, MI, or remote in the United States.