Director of Predictive Simulation

<div class="content-intro"><p><span style="font-weight: 400; font-size: 12pt;">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. </span></p> <p><span style="font-size: 12pt;"><span style="font-weight: 400;">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.</span><span style="font-weight: 400;"> </span><span style="font-weight: 400;">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.</span></span></p></div><p>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).</p> <h4><strong>Critical Functions Overseen:</strong></h4> <ul> <li>Curation and evolution of a large suite of simulated tests</li> <li>Categorization of tests such that results can be rapidly interpreted</li> <li>Continuous improvement of tests in the virtual test suite</li> <li>Measure and maximize the coverage of the test suite(s) and other related artifacts to minimize test escapes and surprises.</li> <li>Ensurance of test report quality and predictive accuracy</li> <li>Summarization of test results in multiple useful categories for rapid assessment</li> </ul> <p><strong>Critical Measurables</strong></p> <p>The candidate is expected to continuously work to optimize the following KPIs:</p> <ul> <li>Maximize the coverage of the test suite, ensuring that our current and future ODDs are well covered</li> <li>Maximize the accuracy of the predictive results derived from testing and validation</li> <li>Minimize the time to interpret and use the results of the test suite (including minimizing false positive failures)</li> <li>Minimize the number of test escapes (surprises) observed in the field</li> </ul> <h4><strong>Responsibilities:</strong></h4> <ul> <li><strong>Lead the development of May’s core simulated test suite</strong> including log-based tests, synthetic tests, and Hardware in the Loop tests. </li> <li><strong>Continuously measure and expand test coverage</strong> to ensure that the current and future ODDs are included. Minimize test escapes in on road drives.</li> <li><strong>Make and communicate to key stakeholders predictions of AV performance</strong> in areas such as safety (collisions, time-to-collision, clearance), comfort (hard braking, hesitations, lateral swings) and computational performance.</li> <li><strong>Manage and mentor a team of engineers and scientists</strong>, fostering a culture of innovation, collaboration, and excellence to drive high performance and professional growth.</li> <li><strong>Collaborate with cross-functional teams</strong>, including core autonomy development, release, product, and operations to ensure that critical testing needs are met or exceeded.</li> <li><strong>Define a testing taxonomy, specification, and roadmap</strong>, to efficiently and incrementally build and improve the test ... (truncated, view full listing at source)