Autonomy Engineer II, Gen Platform - Sensing

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 to foster more green, vibrant and livable spaces.

Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled 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.

May’s Next Generation Autonomy team is at the front line of defining the future of autonomous vehicles. From algorithmic system architecture to new sensors and computational platforms, the Next Gen Autonomy team is where your breadth of technical knowledge and engineering excellence will turn into a comprehensive and tangible product you can be proud of.

Next Gen Autonomy Engineers lead the solutions of challenging and complex architecture and design problems that bridge current and future implementations of Autonomous Vehicles. You will be responsible for both initial designs and production‑level implementations of prototyping upcoming generations of May vehicles. You will drive forward the fulfillment of our Operational Design Domain needs through expanding and streamlining perception sensor selection;

prototyping novel algorithms that utilize new and existing sensors; designing and implementing AV architectures that bring state‑of‑the‑art robotics research and hardware platforms together. You will be the go‑to person for understanding how new features will fit into the future systems, how the system will operate under different conditions, how to best evolve the system to be more effective or efficient, and how to keep the system robust and reliable.

As an autonomy engineer, you will be a critical contributor to the design, development, and deployment of new system architectures, vehicle design, sensor selection, and corresponding advanced machine learning solutions. This position reports to the Director of Autonomy Systems.

• Coordinate with cross‑functional teams to develop software and locale‑specific system architecture requirements for Autonomous Vehicle perception and localization.
• Design and develop perception models to generate early evaluation and acceptance metrics on candidate sensors.
• Coordinate with Mechanical and Electrical Engineering teams to prototype sensor loadouts on mule and pilot vehicles.
• Coordinate and execute on‑vehicle tests to validate performance of Autonomous Vehicle software in real‑world scenarios.
• Collaborate with data science team members to design and implement metrics capturing key performance indicators of Autonomous Vehicle prototype subsystems.

Required qualifications are:

• 1+ years demonstrated experience working on real‑world robotic systems – not just course study.
• 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 perception, localization, behavior, path planning, and/or vehicle control.
• 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.
• Master’s or PhD in Robotics, Computer Science, or Computer Engineering (or other relevant field).
• 3+ years experience working on real‑world robot systems.
• Strong background demonstrated through high‑quality capability deliveries to robots working in the field in any of the following areas: perception,…