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Lead Autonomy Engineer - Behavior/ML

May Mobility

Salary not specified
Sep 5, 2025
Ann Arbor, MI, US
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May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world by developing and deploying autonomous vehicles (AVs) powered by their innovative Multi-Policy Decision Making (MPDM) technology.

Requirements

  • 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
  • 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.
  • 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

Responsibilities

  • 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

Other

  • 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
  • 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)
  • Travel required? - Moderate: 11%-25%