Lead Autonomy Behavior Engineer

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. Essential Responsibilities Design, implement, and test-state-of-the-art robotics software in C/C++ to enable comfortable and safe behavior and control for Autonomous Vehicles Lead and participate in team code quality activities including design and code reviews Provide technical guidance to Technical Support Team on issue diagnosis and resolution Coordinate with cross functional teams to develop software and system requirements for Autonomous Vehicle behavior and controls subsystems Collaborate with data science team members to design and implement metrics capturing key performance indicators of Autonomous Vehicle subsystems Develop unit and simulation tests to validate vehicle performance across target operational domains Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios Diagnose and root-cause issues reported by commercial operations through the May Field Response process Develop tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data Skills and Abilities Success in this role typically requires the following competencies: Expert understanding of one or more of the following: behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls or localization Awareness of the state of the art in the field, and be able to translate novel ideas into relevant solutions at May Ability to understand complex code bases and define architecture as a framework enabling others to solve problems. Ability to provide technical leadership for complex projects, including individual and team mentorship Ability to collaborate cross functionally with adjacent teams such as perception and controls as well as stakeholders outside of autonomy Communicates technical direction effectively at all organizational and technical levels. Defines measurable success metrics for May's technical roadmap to ensure delivery and health of the system. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering) 7+ years of industry experience working on real-world robot systems including implementing at least two commercial projects working at a systems-level, delivering critical functions that make a robot work successfully in the field. Experience developing and deploying capabilities for robot behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls and/or localization Familiarity with multiple non-linear control methodologies appropriate to mobile robot ... (truncated, view full listing at source)