Sr. System Test Engineer - HiL
T
Torc RoboticsAutonomous Vehicle Technology
U.S.Full-TimeSenior
Salary139000 - 166800 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonC++
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++
- 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
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
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