engineering
Posted Apr 29Senior Integration Test Engineer
at May Mobility
Ann Arbor, United StatesOn-site
Responsibilities
- Lead the development and execution of comprehensive HIL test plans, focusing on the integration of autonomous software with autonomous system hardware
- Perform bench-level testing of sensors and compute modules
- Execute static vehicle-level HIL testing by simulating real-world driving scenarios in a controlled environment
- Execute structured test plans covering functional, regression, and fault-injection scenarios
- Measure and analyze software performance (latency, CPU/memory utilization, throughput) on target hardware to ensure the autonomy stack meets necessary requirements
- Design and implement automated test suites. Integrate HIL test results and automation workflows with cloud computing services (AWS) for scalable data analysis and regression tracking
- Monitor and debug vehicle communications
- Ensure all anomalies are thoroughly documented. Champion product quality by contributing to acceptance criteria and safety-critical validation metrics Skills and Abilities
Requirements
- Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
- Proven ability to construct and maintain HIL test environments
- Deep understanding of CAN networks and vehicle communication protocols
- Proficiency with Ethernet protocols (UDP and TCP) •
- Experience with CAN bus analysis tools (e.g., Intrepid Vehicle Spy, Vector CANoe/CANalyzer)
- Strong command of Linux environments for system configuration, log manipulation, and troubleshooting
- Ability to prioritize complex deliverables and pivot testing strategies as autonomy software evolves
- Experience integrating test automation with cloud computing services (AWS) Qualifications and Experience Required
- Bachelor's degree in an applicable engineering field 5+ years
- experience with Hardware-in-the-Loop testing and system-level validation
- Master’s degree in an applicable engineering field •
- Experience testing ADAS vehicles or autonomous robotic systems Cloud Operations: