Sr. System Test Engineer - HiL

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

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.

As a Senior Systems Test Engineer – HiL, you will play a key role in designing, building, and executing HiL-based validation strategies for autonomous driving software. You’ll work closely with systems, perception, planning, and software teams to ensure seamless integration and high-quality system performance across the autonomy stack.

• →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

• 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
• Ability to collaborate effectively with cross-functional teams in a fast-paced environment

• 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