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 300,000 autonomy-enabled 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.

Job Summary

If you're fascinated by understanding the intricacies of autonomous vehicle performance and eager to guide others in that pursuit, we want to hear from you. Are you driven to overcome the complexities of transitioning autonomous systems from small-scale deployments to meeting and surpassing commercial operational design domain (ODD) requirements? May Mobility is entering an exciting growth phase following the launch of our third driver-out site, and we're seeking a talented Autonomy Test and Evaluation Strategy Lead Engineer. This critical role will define a comprehensive testing and performance evaluation strategy, enabling us to achieve our ambitious goal of delivering fully autonomous rides at a massive scale. Successful candidates will bring strategic vision, extensive knowledge of autonomous driving testing methodologies, and excellent communication skills to ensure effective implementation of guidelines and processes.

The Autonomy Testing and Evaluation Strategy Lead Engineer will report to the Sr Manager for Integrated Autonomy R&D and will spearhead the continuous evaluation of May Mobility’s autonomous driving technologies during both development and deployment phases. This rigorous evaluation is essential to our scaling efforts. Our objective is to regularly introduce new capabilities and precisely measure their performance improvements while upholding the highest standards of safety and passenger comfort.

This role offers the unique opportunity to develop and implement a cohesive vision for the effective testing and evaluation of May Mobility's autonomous capabilities as we scale and expand our Operational Design Domain (ODD). We seek a candidate with a deep passion for achieving high-quality autonomy – ensuring our systems are safe, comfortable, capable, and reliable. The ideal candidate will be proactive in planning and communicating processes and guidelines to consistently meet and exceed our rigorous quality expectations. Key responsibilities include:

• Design and implement a robust, comprehensive autonomy testing and evaluation strategy that supports rapid feature development while ensuring high-quality, scalable autonomy performance.
• Establish and enforce clear, effective testing and evaluation guidelines and processes across all autonomy departments to ensure consistent adherence.
• Develop and implement processes for analyzing integrated software quality, focusing on critical dimensions such as safety, capability, comfort, and reliability.
• Define and own Operational Design Domain (ODD)-level autonomy Key Performance Indicators (KPIs), and collaborate cross-functionally to define, implement, track, and present performance metrics throughout the autonomy product lifecycle.
• Train and mentor autonomy leaders and engineers on strong testing and evaluation principles, fostering a culture of excellence and best practices.
• Proactively identify and resolve gaps and barriers that hinder effective testing and analysis, including simulation test escapes and false positives, driving continuous improvement.
• Collaborate closely with the Safety test and validation team to determine the optimal balance between simulation and on-vehicle testing, and develop joint autonomy and safety testing objectives and master plans.
• Maintain expert knowledge of existing and future simulation test suites, and lead and oversee the creation and evolution of these suites, including identification of the optimal composition of synthetic and logstream scenarios for ODD-based testing.

This position is based in a hybrid work model at May Mobility HQ in Ann Arbor, Michigan. While a fully remote option is possible, preference will be given to candidates who can work hybrid. Light travel to various sites may be required to gain firsthand understanding of performance issues.

Skills and Abilities

Success in this role typically requires the following competencies:

• Theoretical and practical expertise in autonomy testing and evaluation methodologies, including performance metrics development
• Thorough understanding and experience with Operational Design Domain concepts for autonomous vehicles
• Hands-on knowledge and experience with autonomous driving systems
• Hands-on knowledge of and experience with simulation environments, simulation gaps and challenges and simulation testing processes for autonomous systems
• Hands-on knowledge of and experience with on-vehicle testing and processes for autonomous systems
• Deep understanding of autonomy systems and various components and their downstream impact
• An ability to clearly and concisely communicate technical concepts and T&E best practices, rallying others behind
• An ability to communicate effectively with both technical and non-technical people and teams

Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Qualifications:

Required Qualifications

• MS in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering or related engineering discipline
• 10 years experience, at least a portion of which in the autonomous driving industry.
• Demonstrated success in testing and evaluating autonomous systems
• Demonstrated ability to work collaboratively, fostering best T&E practices
• Demonstrated experience at delivering results in an applied research environment where new, innovative technologies are being constructed and formed into an innovative product
• Excellent data analysis and presentation skills, making a cohesive story out of a chaos of information
• Excellent written and verbal communication skills
• Though travel is not a central element of this role, a willingness and ability to travel roughly 5% of the time is expected

Desirable

• PhD in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or related engineering discipline
• Previous hands-on experience in establishing successful T&E strategy and execution for autonomous driving
• Strong familiarity with the state of the autonomous vehicle industry
• Previous startup experience

Physical Requirements

• Standard office working conditions which includes but is not limited to:
  • Prolonged sitting
  • Prolonged standing
  • Prolonged computer use
• Travel required? - Minimal: 1%-10%

Salary Range

$190,000—$215,000 USD

Benefits and Perks

• 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 with immediate eligibility as well as a phased return to work.
• Flexible vacation policy in addition to 18 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.

Want to learn more about our culture & benefits? Check out our website!

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.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.