Senior Robotics Engineer (Hybrid)

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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 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.

Company Overview

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 of Detroit and Grand Rapids, Michigan and Providence, Rhode Island 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.

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 roboticist 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.

Your Opportunity to Drive Success

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
  • 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

Required Qualifications

  • 5+ years of industry experience working on real-world robot systems (should have implemented at least two commercial projects working at a systems-level, developing robotics software as part of a larger system)
  • Bachelor's degree in Robotics, Computer Science, or Computer Engineering
  • Strong programming skills in C, software development in a Linux environment
  • Experience working on a combination of Interaction-aware Planning, POMDP, Policy Optimization, Computational Geometry, Object Detection, Multi-target Tracking, Localization, and Mapping
  • Familiarity with standard development tools such as git, valgrind, and gdb

Desired Qualifications

  • Masters or PhD in Robotics, Computer Science, or Computer Engineering
  • 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)
  • Experience working on perception or image processing
  • Experience with machine learning or deep learning

Benefits and Perks

  • Health benefits including vision and dental
  • Unlimited paid vacation days and generous holidays
  • Paid parental leave
  • Meaningful stock options
  • Daily catered lunches and snacks
  • Flexible schedule around core business hours

Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

Want to learn more about our culture & benefits? Check out our website!

May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.


More Information on May Mobility
May Mobility operates in the Automotive industry. The company is located in Ann Arbor, MI. May Mobility was founded in 2017. It has 300 total employees. It offers perks and benefits such as Volunteer in local community, Open door policy, OKR operational model, Team based strategic planning, Open office floor plan and Employee resource groups. To see all 9 open jobs at May Mobility, click here.
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