Torc Robotics

Torc Robotics

Sr. System Test Engineer - HiL

Remote - U.S, Ann Arbor, MI · Senior · Full-time

Sponsorship not specified$139k-$167kDetected 2 days ago
PythonC++Node.jsData AnalysisRoboticsElectrical EngineeringSensorsControlsTest AutomationProblem Solving

About the role

  • Our team operates at the intersection of software, hardware, and autonomy, ensuring that complex system behaviors are thoroughly tested before deployment to vehicle platforms.
  • You'll work closely with systems, perception, planning, and software teams to ensure seamless integration and high-quality system performance across the autonomy stack.
  • Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Responsibilities

  • Design, develop, and maintain HiL test benches to support validation of autonomous driving software and system-level functionality
  • Support the integration and validation of new autonomy features across perception, sensor fusion, and vehicle control systems
  • 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
  • Experience developing and executing test cases and validation plans for complex systems
  • Ability to collaborate effectively with cross-functional teams in a fast-paced environment
  • 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.

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
  • 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)

Compensation

  • $139,000 - $166,800 USD

Benefits

  • 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.
  • Perks of Being a Full-time Torc'r
  • Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future.
  • A 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 matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance
  • Develop and maintain automated test scripts and frameworks to improve test coverage, repeatability, and efficiency

Company info

  • At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
  • Meet the Team:
  • 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.
  • 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.
  • Our culture is collaborative, energetic, and team focused.
  • We are also open to hiring Remote in the United States.
  • For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity.

This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.