Director, Autonomy Behavior

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. Job Summary The Director of Autonomy Behaviors will be responsible for leading the vision, strategy, and technical roadmap of the Behavior & Controls team at May Mobility.  The Director of Autonomy Behaviors plays a key role in advancing May’s unique, innovative Multi-Policy Decision Making (MPDM) technology towards building a safe and comfortable ride. MPDM is a unique approach to planning that enables May to build and scale its autonomy capabilities much more efficiently than any of its competitors. This is a unique opportunity to sit at the crossroads of cutting-edge autonomous driving technology, transformative mobility, and the products that enable change in the transportation landscape of cities today. This position reports to the Senior Vice President of Autonomy and is responsible for providing world class leadership to our autonomy engineering managers and engineers, in order to propel their professional success as they develop industry-leading technology advancements. Essential Responsibilities Be a technical thought leader to champion May Mobility’s mission, vision, values and company priorities to develop and execute autonomy strategy with fellow executives and engineering leaders. Work cross-functionally with other Autonomy functions, Vehicle Engineering; Software, Data and Infrastructure; and Operations leaders to solve and deploy solutions to autonomy challenges. Deliver innovative and robust advances to May’s MPDM technology including supporting the transition to data driven policies,  faster & more accurate MPDM simulations, learnt reward functions, improved and expressive policies, compatible and stable control algorithms and any other technological aspect required to advance MPDM, May’s core technology.    Ensure May’s core MPDM technologies operate efficiently and effectively in commercial deployments, including supporting effective triage and resolution of issues related to this technology. Maintain an understanding of related research fields including planning, automated decision making, and various machine learning techniques such as reinforcement learning. Develop and maintain key performance indicators (KPIs) to track autonomy performance Construct and execute a roadmap to solve key challenges and work with other autonomy leaders to synchronize this roadmap with the roadmaps of other functions. Set the bar for bringing in new talent into the organization. Interview, hire, and manage a diverse team of talented perception engineers and scientists. Oversee the escalation of critical issues and opportunities within the autonomy team’s leadership, driving clear recommendations to maximize the effectiveness of the team with respect to company priorities and strategy. Skills and Abilities Success in this role typically requires the following competencies: Deep technical knowledge and demonstrated success in delivering innovative solutions in one or more of the fields of planning, autonomous decision making, reinforcement learning, and computational prediction. A demonstrated strong attention to detail with the ability to understand, track, and efficiently mitigate technical, integration, and personnel risks. Demonstrated success in working in uncertain work environments with an ability to turn concepts and problems that are uncertain into effective, executable plans to resolve these issues. A proven ability to get the best out of others, set goals and expectations for others, communicate clearly and honestly, and discuss difficult topics. An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data. Proven ability to work with other peers in related technical areas to jointly solve larger system issues. Proven ability to deliver under tight schedules. Qualifications and Experience Candidates most successful in this role typically hold the foll