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%.

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 learningExperience in leading teams or managing projects

PHYSICAL REQUIREMENTS

• Standard office working conditions which includes but is not limited to:
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• 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%

• 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