Application Guide
How to Apply for Senior Autonomy Support Engineer
at May Mobility
🏢 About May Mobility
May Mobility stands out as a leader in autonomous electric vehicles focused specifically on safe, sustainable urban transportation solutions. Unlike companies pursuing general self-driving technology, May Mobility specializes in low-speed, geo-fenced deployments that prioritize safety and community integration, making it an ideal workplace for engineers passionate about tangible, real-world impact in the mobility sector.
About This Role
As a Senior Autonomy Support Engineer at May Mobility, you'll bridge the gap between fleet operations and software development by investigating real-world autonomy issues, curating datasets for model improvement, and designing simulation scenarios. This role is impactful because you'll directly influence the safety and reliability of autonomous vehicles through data-driven insights that inform software enhancements.
💡 A Day in the Life
A typical day involves analyzing overnight fleet data to identify recurring autonomy issues, collaborating with software engineers to provide debug insights from field incidents, and designing simulation scenarios to test proposed fixes. You'll spend time curating datasets from real-world driving events and creating dashboards to track issue resolution progress across the fleet.
🚀 Application Tools
🎯 Who May Mobility Is Looking For
- Has 5+ years of experience in technical support or data analysis roles within robotics, autonomy, or automotive industries, with demonstrated ability to debug complex systems
- Possesses practical Python and C/C++ skills specifically for debugging autonomy software and analyzing fleet data, not just general programming knowledge
- Experienced with SQL/JQL and BI tools like AWS Quicksight or Tableau for creating dashboards that track fleet performance metrics and common issue patterns
- Demonstrates systematic problem-solving approach to identify root causes of autonomy issues and translate them into actionable improvements for engineering teams
📝 Tips for Applying to May Mobility
Highlight specific experience with autonomous vehicle fleets or robotics systems in your resume, quantifying your impact on issue resolution or data analysis
Prepare examples of how you've used Python/C++ for debugging complex systems, not just for development projects
Research May Mobility's specific deployments (like Ann Arbor or Arlington) and mention how your skills could address challenges in their operational environments
Showcase experience with simulation tools or scenario testing in autonomy contexts, as this is explicitly mentioned in the responsibilities
Demonstrate understanding of the full autonomy stack by discussing how you've previously supported software teams with data-driven insights
✉️ What to Emphasize in Your Cover Letter
['Explain your approach to investigating and categorizing fleet issues, with specific examples from past roles', 'Detail your experience curating datasets for machine learning or autonomy development, emphasizing quality and relevance', "Describe how you've identified and implemented process improvements in technical support or engineering environments", "Connect your skills to May Mobility's specific focus on safe, sustainable urban transportation and their real-world deployments"]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Study May Mobility's specific vehicle platforms and autonomy stack through their technical blog posts and patents
- → Understand their current deployment cities and the unique challenges of each operational environment
- → Research their safety philosophy and how it translates to engineering priorities
- → Review their recent news about fleet expansions or new partnerships to understand company direction
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Applying with only general software engineering experience without specific autonomy, robotics, or automotive industry context
- Failing to demonstrate practical debugging skills with C/C++ and Python in technical assessments
- Submitting generic applications that don't address May Mobility's specific focus on safe, sustainable urban transportation solutions
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!