Director of Predictive Simulation

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.

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.