Director, Autonomy Behavior

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.

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.

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.

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.