Lead Autonomy Engineer - Behavior/ML

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 May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles.  Essential Responsibilities You will have an opportunity to independently impact our approach to solving the most interesting problems facing AV’s today, while operating live in the wild.  Work independently with cross functional teams to develop software and system requirements Design, implement, and test-state-of-the-art robotics software in C/C++  Lead team code quality activities including design and code reviews  Track and Trend technical performance of the system in the field  Provide technical guidance to Technical Support Team on issue diagnosis and resolution Skills and Abilities Success in this role typically requires the following competencies: In-depth 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 identify long term architectural improvements Ability to provide individual and team mentorship, including technical leadership for complex projects  Ability to collaborate cross functionally with adjacent teams such as perception and controls Ability to communicate complex technical concepts to diverse audiences, including stakeholders, executives, and customers Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required 10+ 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. 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) 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 Strong programming skills in C/C++ Expertise with software development in a Linux environment Familiarity with standard development tools such as git, valgrind, and gdb  Desirable Masters or PhD in Robotics, Computer Science, or Electrical and Computer Engineering, Mechanical Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering) Strong background in one of the robotics areas discussed above as demonstrated by developing and delivering to fielded robots multiple capabilities that solve critical problems in controls and motion planning Demonstrated ability to mentor and support more junior engineers in learning and contributing to robotics development and testing Strong programming skills in C, software development in a Linux environment Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? -  Moderate: 11%-25% Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.