Director of Predictive Simulation-based V&V at May Mobility

Ann Arbor, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

315000.0

Posted On

22 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Predictive Simulation, Verification and Validation, Autonomous Vehicle Technology, Data Science, Team Management, Collaboration, Project Delivery, Communication Skills

Industry

Urban Transit Services

Description

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. May Mobility is seeking a visionary and experienced Director of Predictive Simulation-based V&V to lead our efforts in rapidly deploying iterative improvements to our autonomous driver stack. As a key member of our leadership team, you will direct and oversee innovative the design, development, and evolution of a comprehensive simulated test suite. This suite will be used to accurately predict the behavior of May’s AVs in a variety of Operational Design Domains (ODDs). Critical Functions Overseen: Curation and evolution of a large suite of simulated tests Categorization of tests such that results can be rapidly interpreted Continuous improvement of tests in the virtual test suite Measure and maximize the coverage of the test suite(s) and other related artifacts to minimize test escapes and surprises. Ensurance of test report quality and predictive accuracy Summarization of test results in multiple useful categories for rapid assessment Critical Measurables The candidate is expected to continuously work to optimize the following KPIs: Maximize the coverage of the test suite, ensuring that our current and future ODDs are well covered Maximize the accuracy of the predictive results derived from testing and validation Minimize the time to interpret and use the results of the test suite (including minimizing false positive failures) Minimize the number of test escapes (surprises) observed in the field Responsibilities: Lead the development of May’s core simulated test suite including log-based tests, synthetic tests, and Hardware in the Loop tests. Continuously measure and expand test coverage to ensure that the current and future ODDs are included. Minimize test escapes in on road drives. Make and communicate to key stakeholders predictions of AV performance in areas such as safety (collisions, time-to-collision, clearance), comfort (hard braking, hesitations, lateral swings) and computational performance. Manage and mentor a team of engineers and scientists, fostering a culture of innovation, collaboration, and excellence to drive high performance and professional growth. Collaborate with cross-functional teams, including core autonomy development, release, product, and operations to ensure that critical testing needs are met or exceeded. Define a testing taxonomy, specification, and roadmap, to efficiently and incrementally build and improve the test suite. Qualifications: Educational Background: PhD or Master's degree in a relevant field such as Computer Science, Data Science, Machine Learning, Robotics, Electrical Engineering. Professional Experience: 10+ years of experience in autonomous vehicle technology or related fields, with a strong track record of leadership and innovation. Leadership Experience: 5+ years of experience managing large technical teams (50+ engineers), with a focus on mentorship, team development, and fostering a collaborative work environment. Technical Expertise: Deep understanding of AV testing, use of simulation in verification and validation, and data science. Project Delivery: Proven ability to deliver complex technical projects on time and within budget, with a focus on achieving strategic objectives and measurable outcomes. Communication Skills: Excellent communication and collaboration skills, with the ability to articulate technical concepts to diverse audiences, including non-technical stakeholders, partners, and industry leaders. About May Mobility: At May Mobility, we're on a mission to revolutionize transportation with safe, reliable, and accessible autonomous vehicles. Our focus is on enhancing urban and suburban mobility, reducing traffic congestion, and improving public transportation. We're committed to innovation, safety, and community impact, and we're looking for leaders who share our passion for transforming the way people move. Our team is comprised of industry leaders and innovators who thrive in a dynamic and collaborative work environment. We offer competitive compensation, comprehensive benefits, and the opportunity to make a real impact on the future of mobility. If you're a visionary leader with a passion for autonomous technology and a track record of driving innovation, we'd love to hear from you. Apply now to join our team and help shape the future of transportation with May Mobility. 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 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. 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. Salary Range $217,000—$315,000 USD

Responsibilities

Lead the development of a comprehensive simulated test suite for autonomous vehicles. Ensure continuous improvement and coverage of tests to minimize surprises in real-world scenarios.