Senior Field Autonomy Applications Engineer

Posted 12 Days Ago
Be an Early Applicant
Ann Arbor, MI
92K-110K Annually
Senior level
Automotive • Machine Learning • Robotics • Software • Transportation
May Mobility is developing and deploying autonomous vehicle technology that works in the real world.
The Role
The Senior Field Autonomy Applications Engineer at May Mobility will improve processes for deploying autonomous vehicles, collaborate with cross-functional teams to develop features, build tools for engineering workflows, and provide hands-on support for technical issues. Significant travel is required, up to 50%.
Summary Generated by Built In

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.

Job Summary

May Mobility is looking for a Senior Field Autonomy Applications Engineer who will work closely with cross-functional teams to triage and resolve complex technical issues while effectively communicating their impact across the organization.
Additionally, you will play a key role in enhancing internal workflows, using your expertise to develop tools and solutions that drive operational efficiency.

The role includes significant travel – up to 50%.

Essential Responsibilities

  • Improve May’s processes and tools for deploying autonomous vehicles 
  • Collaborate with Autonomy, Product Management,  and other engineering functions to develop features across May Mobility’s product portfolio
  • Build tools and features to support and improve Field Engineering workflows
  • Represent the company professionally and confidently at public events, engaging with clients, media and other stakeholders
  • Lead and facilitate cross-functional projects in developing product features, tool improvements, and processes for accomplishing customer deliverables
  • Travel to May Mobility sites to provide hands-on support to technical issues and processes, as well as expert diagnosis, triage, and prioritization of autonomy behaviors
  • Coordinates and develops the on-site configuration and deployment of autonomous technology in new locations

Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

  • Bachelor’s degree in Electrical Engineering, Computer Science, Robotics Engineering, Computer Engineering, or related degree
  • Familiarity with principles of mobile robotics
  • Outstanding oral and written communication skills
  • Demonstrated hands-on experience developing or editing software
  • Excellent problem-solving and analytical skills
  • Experience operating in a Linux environment, including familiarity with common Linux command line utilities or other comparable CLI familiarity
  • Willingness and ability to travel (up to 50%)
  • Ability to operate and drive May Mobility vehicles 
  • Valid U.S. driver’s license and clean driving record
  • Willingness to undergo a driving record check

Desirable

  • Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent work experience
  • Prior experience with mobile robotics and/or autonomous vehicles
  • Experience designing software in C, Python, and/or Bash environments
  • Experience handling and creating insights from large data sets
  • Exposure to or experience with machine learning
  • Experience in leading teams or managing projects

Physical Requirements

  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use
    • Lift up to 50 pounds
  • Hybrid role based out of Ann Arbor, MI
    • Hybrid employees work remotely from their home or alternative work space as well as from one of our offices or sites at an agreed upon cadence set by their leader and based on the nature of their role. _ number of days per week/month or as otherwise agreed to with manager (job function- job dependent) 2 to 3 days per week or 8 days per month in office.  Weekly 1-4 days per week 
  • Travel up to 50%

Salary Range

$92,000$110,000 USD

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 18 paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing   

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.

Top Skills

Computer Engineering
Computer Science
Electrical Engineering
Robotics Engineering
The Company
HQ: Ann Arbor, MI
300 Employees
Hybrid Workplace
Year Founded: 2017

What We Do

May Mobility is a leader in the development and deployment of autonomous vehicle (AV) technology. We aim to transform cities and make transit more safe, sustainable, accessible and equitable for everyone by building a better AV technology that works in the real world. We have delivered more than 335,000 autonomy-enabled rides to date across 11 cities in the U.S. and Japan.

Why Work With Us

May Mobility is a place where innovators, creators, and tech visionaries work together towards a common purpose: to create a safer, greener, and more accessible world. Join our team and make a real impact.

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