AV Test Engineer

Mission Summary

The Autonomous Vehicle (AV) Test Engineering team is responsible for validating the safety, functionality, and performance of self-driving technology through rigorous, system-level testing. As a Systems Test Engineer, you will play a hands-on role in the end-to-end verification of AV features—spanning perception, planning, and control—across virtual, closed-course, and public road environments.

Essential Duties

• Design and execute test campaigns for self-driving features (perception, planning, and control) across virtual, synthetic, and physical environments.

• Leverage Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and scenario-based simulation platforms (e.g., Applied Intuition) for feature validation and regression testing.

• Create synthetic and log-replay scenarios to support root-cause analysis and large-scale release validation.

• Perform mechatronic and systems integration testing, including closed-course test track validation and on-vehicle environments.

• Develop and maintain detailed test plans and automation scripts using Python and Bash/Shell.

• Analyze logs and data to assess system behavior and conduct root-cause investigations, collaborating cross-functionally with perception, planning, hardware, and safety teams.

• Conduct fault injection and low-level control testing using tools like CANalyzer or CANoe for subsystems such as drive-by-wire (DBW), braking, and steering.

• Ensure testing practices align with industry standards such as ISO 26262, ISO 21448 (SOTIF), and ISO 9001.

• Document procedures and technical findings using tools like Confluence, Jira, and GitLab to ensure traceability.

Qualifications

• Bachelor’s degree or higher in Engineering, Robotics, ECE, Computer Science, or a relevant technical field.

• 2+ years in software QA, systems testing, or mechatronic system validation, preferably within ADAS or autonomous systems.

• Proficiency in Linux and programming/scripting languages such as Python, C++, or Bash/Shell.

• One or more of the following:

  • Proficiency with AV simulation platforms (e.g., Applied Intuition, IPG Carmaker, NVIDIA DRIVE Sim).

  • Hands-on experience with Hardware-in-the-Loop (HIL) environments and automotive communication protocols (CAN, LIN, Ethernet).

  • Experience with track-based testing and mechatronic system integration.

  • Demonstrated ability to troubleshoot, debug, and think logically to remove bias from problem evaluation.

  • Ability to operate effectively amid ambiguity and interpret evolving system requirements in a fast-paced environment.