Sr. System Test Engineer - HiL
$139,000–$166,800 year
RemoteUnited States
Job Summary
Design, develop, and maintain Hardware-in-the-Loop (HiL) test benches to validate autonomous driving software and system-level functionality. Define and execute test strategies, cases, and validation plans based on safety goals and ISO 26262 standards. Develop automated test scripts and frameworks to improve coverage and efficiency, while integrating hardware and software components into HiL environments. Conduct verification and validation activities, analyze test results, and collaborate cross-functionally to drive resolution of system-level issues. Document procedures and defects, and continuously improve HiL infrastructure and workflows. Work with ROS/ROS2, CAN-based systems, and simulation platforms to support seamless integration across perception, planning, and control systems.
Required Qualifications
- 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
Desired 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
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