• 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 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 faster execution, more accurate MPDM simulations, effective 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 • Identify key gaps and challenges in May’s autonomy technology including MPDM and control algorithms. • 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. • Identify monthly, quarterly and yearly milestones to iteratively improve performance in both the short and long term. • Take responsibility for the overall planning, execution, and success of complex technical projects and provide the team with technical leadership. • Help set perception team hiring targets. 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.