Senior Robotics Engineer - Behavior Intent

May Mobility
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Job Description

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.

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

Required Qualifications

  • 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, 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

Desired Qualifications

  • 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, intent prediction, machine learning (applied to robotic problems), behavior development, planning, optimization, sensor processing and fusion, and vehicle control.

Desired Qualifications

  • 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 controls 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
  • Familiarity with standard development tools such as git, valgrind, and gdb

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!
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave with immediate eligibility as well as a phased return to work.
  • Flexible vacation policy in addition to 15 paid company holidays.
  • Competitive salary and equity program as well as a bonus program.
  • Daily catered lunches and snacks for onsite employees
  • Employee Work Perk Stipends for hybrid and remote employees
  • Total Wellness Program providing numerous resources for overall wellbeing

The expected base salary range for this full-time position is $152,000 - $209,000 per year. May’s pay ranges are determined by the role, level, and location. Successful candidate’s starting base pay will be determined based on factors including but not limited to- job-related skills, experience, qualifications, relevant education or training, and market conditions. A successful candidate will also be eligible for an annual discretionary bonus, equity compensation, and generous company benefits. These ranges are subject to change.

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.

Company Info.

May Mobility

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.

  • Industry
    Computer software,Robotics company
  • No. of Employees
    200
  • Location
    Ann Arbor, MI, USA
  • Website
  • Jobs Posted

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