M
USD 217000-315000/yr

Director of Predictive Simulation

United StatesAnn Arborexecutive
OtherPre-Sales ConsultantPredictive Simulation
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Quick Summary

Key Responsibilities

Lead the development of May’s core simulated test suite including log-based tests, synthetic tests, and Hardware in the Loop tests.

Requirements Summary

Educational Background : PhD or Master's degree in a relevant field such as Computer Science, Data Science, Machine Learning, Robotics, Electrical Engineering.

Technical Tools
OtherPre-Sales ConsultantPredictive Simulation

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.

May Mobility is seeking a visionary and experienced Director of Predictive Simulation 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).

  • 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

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

~1 min read
  • 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.

Requirements

~1 min read
  • 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.

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.


What We Offer

~2 min read
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

Listing Details

Posted
November 25, 2025
First seen
March 26, 2026
Last seen
April 24, 2026

Posting Health

Days active
28
Repost count
0
Trust Level
42%
Scored at
April 24, 2026

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M
Director of Predictive SimulationUSD 217000-315000