Senior Integration Developer Jobs in Ann Arbor, MI

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. 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. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.

Senior Integration Test Engineers serve as key stakeholders in the R&D process. This role bridges simulation and on-road testing by validating vehicle system behavior in a controlled lab environment. Senior Integration Test Engineers will focus on both static vehicle-level and HIL testing, replaying real-world drive logs, and documenting system responses. This role is unique in which you will lead testing on HIL bench test setups in addition to static vehicle-level simulated driving.

As a Senior HIL Test Engineer, you will work closely with software, hardware, and systems engineers to architect the HIL infrastructure, pioneer new automation processes, and mentor the team in validating safety-critical systems in a fast-paced R&D environment.

• 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
• Partner with Autonomy and Systems Engineering teams to define validation requirements and translate complex edge cases into repeatable HIL test cases.
• Ensure all anomalies are thoroughly documented. Champion product quality by contributing to acceptance criteria and safety-critical validation metrics

• Proven ability to construct and maintain HIL test environments
• Static vehicle-level or chassis dynamometer test experience
• 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
• Expertise in Test Case Automation and scripting to reduce manual testing overhead
• Ability to prioritize complex deliverables and pivot testing strategies as autonomy software evolves
• Strong ability to translate low-level hardware bugs into actionable insights for high-level software teams
• Experience integrating test automation with cloud computing services (AWS)

Required

• Bachelor's degree in an applicable engineering field
• 5+ years experience testing complex safety-critical systems involving software, firmware, and/or hardware, preferably in an automotive context
• Direct experience with Hardware-in-the-Loop testing and system-level validation
• Valid driver’s license and clear driving record

Desirable

• Master’s degree in an applicable engineering field
• Experience testing ADAS vehicles or autonomous robotic systems
• Cloud Operations: Experience using AWS for data storage, compute, or CI/CD integration
• Coding: Proficiency in Python or C++ for creating test scripts and data analysis tools

• Standard office working conditions which includes but is not limited to:
  • Prolonged sitting
  • Prolonged standing
  • Prolonged computer use
• Travel required? - Low: 0%-10%

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
• Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
• Rich retirement benefits, including an immediately vested employer safe harbor match.
• Generous paid parental leave as well as a phased return to work.
• Flexible vacation policy in addition to paid company holidays.
• Total Wellness Program providing numerous resources for overall wellbeing

Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Salary Range $100,000—$125,000 USD