management
Posted Nov 25, 2025Director of Predictive Simulation
at May Mobility
Ann Arbor, United StatesOn-site
Responsibilities
- 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)
- Lead the development of May’s core simulated test suite including log-based tests, synthetic tests, and Hardware in the Loop tests.
- 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
- 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.
- 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).
- The candidate is expected to continuously work to optimize the following KPIs:
- Educational Background : PhD or Master's degree in a relevant field such as Computer Science, Data Science, Machine Learning, Robotics, Electrical Engineering. Professional
- experience in autonomous vehicle technology or related fields, with a strong track record of leadership and innovation. Leadership
- 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.