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 seeking a Senior Field Autonomy Solutions 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 guide tool development and solutions that drive operational efficiency.

The role includes significant travel – up to 50%.

Essential Responsibilities

•  Engage with current and potential stakeholders to establish technical assessments, demonstrate value and generate insights for autonomy improvement
• Interface with cross functional leaders to ensure solution roadmaps capture business and customer needs
• Identify and utilize GIS (Geographic Information Systems) technology and/or equivalent tools to improve current processes for identifying routes, regions, and roadways fitting within May Mobility’s Operational Design Domain
• Present verbal and written technical communications on behalf of May Mobility to current and prospective customers, partners, public officials and policymakers, and external stakeholders
• Demonstrate autonomous technology for May stakeholders including members of the public, press, current and potential customers and partners, policymakers, other VIPs
• Travel to active and prospective operational sites for evaluation of May’s AV product offering
• Provide support to deployed AV operations and actively drive resolution to problems and deficiencies in the AV deployment
• Leverage fleet data and simulation results to guide performance improvements
• 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 Engineering, especially with specialties or course work including Computer Science, Robotics, Transportation Engineering, or Operations Engineering, related technical discipline, or equivalent experience in urban or transportation planning
• Minimum 5 years experience in a technical role or roles
• Minimum one year experience in a customer-facing role
• Superb oral and written communication skills
• Demonstrated project management experience
• Exceptional organizational and interpersonal skills
• Willingness to travel up to 50% as needed, within and beyond the United States
• Ability to pass a driving records check
• Active US Driver’s License (or ability and willingness to obtain one)
• Familiarity with basic principles of mobile robotics
• Ability to comprehend and communicate technical concepts across a variety of audiences
• Demonstrated ability to innovate and drive continuous improvement
• Ability to create clear and informative visualizations, including maps, charts, and graphs, to communicate geospatial analysis results to diverse stakeholders

Desirable

• Prior experience in Robotics and/or Autonomous Vehicles
• Prior experience in a technical sales or solutions engineering role
• Experience creating insights from diverse data and statistical tools
• Experience operating in a Linux environment and using basic Linux command line utilities
• Experience using Git and GitHub or Gitlab
• Experience reading, debugging, and writing code in Python, C, and/or C++
• Experience with software simulation suite 
• Expertis