May Mobility is a self-driving technology company working to transform today's mobility landscape, by starting with a niche market: low-speed shuttles for public roadways. Our vehicles are on the streets navigating complex downtown scenarios and transporting thousands of people on their daily commute every week. We are establishing a ground game that will propel us into even larger markets in the future.
Based in Ann Arbor, Michigan, our team develops driverless technology to give people more time to laugh with friends, to solve an interesting problem, or to enjoy the world around them. We’re hiring people who share our passion for building the future, today.
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 with robotics engineers with a background in robotics or autonomous vehicles.
Your Opportunity to Drive Success
You will have an opportunity to impact our approach to solving the most interesting problems facing AV’s today, while operating live in the wild.
Work with cross functional teams to develop software and system requirements
Participate in team code quality activities including design and code reviews
Develop and test state-of-the-art robotics software in C
1+ years demonstrated experience working on real-world robotic systems - in a lab, in industry, etc. - not just course study
Bachelor's degree in Robotics, Computer Science, or Computer Engineering
Experience working on robot perception, localization, or behavior and path planning
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
3+ years experience working on real-world robot systems
Strong background in sensing, localization, behavior, and path-planning for probabilistic robotics (including computer vision, vision-based localization and mapping, robot perception, robot behavior, and autonomous vehicle development)