Application Guide

How to Apply for Director, Autonomy Behavior

at May Mobility

🏢 About May Mobility

May Mobility stands out by focusing on autonomous electric vehicles specifically designed for safe, sustainable urban transportation, with their Multi-Policy Decision Making (MPDM) technology at the core of their approach. Unlike companies pursuing general autonomy, May targets practical, commercial deployments that prioritize safety and eco-friendly solutions, making it ideal for those passionate about real-world impact in transportation.

About This Role

As Director of Autonomy Behavior, you'll lead the vision and technical roadmap for the team, driving innovations in MPDM technology to enhance execution speed, simulation accuracy, and control algorithms. This role is critical for ensuring May's autonomy systems perform reliably in commercial deployments, directly impacting the safety and scalability of their autonomous vehicles.

💡 A Day in the Life

A typical day involves collaborating with the Autonomy Behavior team to refine MPDM algorithms, reviewing simulation data for accuracy improvements, and strategizing on roadmaps to address technical gaps. You'll also lead meetings to align on commercial deployment goals and ensure stable control algorithms for real-world vehicle operations.

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🎯 Who May Mobility Is Looking For

  • Holds a PhD or master's in robotics, computer science, or a related field with 7+ years of software-focused engineering experience in mission-critical robotics systems
  • Has a proven track record as a principal investigator or director solving complex autonomy problems, with experience leading teams of 10+ engineers
  • Demonstrates expertise in Multi-Policy Decision Making (MPDM) or similar autonomy frameworks, with a focus on improving policies, simulations, and control algorithms
  • Possesses strong strategic vision to identify gaps in autonomy technology and execute roadmaps for commercial deployment challenges

📝 Tips for Applying to May Mobility

1

Highlight specific examples where you've led autonomy projects in mission-critical systems, quantifying improvements in execution speed, simulation accuracy, or policy effectiveness

2

Tailor your resume to emphasize experience with MPDM or similar decision-making frameworks, as this is core to May's technology

3

Discuss your leadership approach in managing teams of 10+ engineers, including how you've set goals and handled challenges in fast-paced environments

4

Research May Mobility's current deployments and mention how your expertise aligns with their commercial scalability needs

5

Avoid generic autonomy experience; focus on robotics problems relevant to electric vehicles and urban transportation safety

✉️ What to Emphasize in Your Cover Letter

['Your vision for advancing MPDM technology, including specific ideas for faster execution, improved policies, or stable control algorithms', 'Examples of leading teams to solve complex autonomy problems in commercial or mission-critical settings', "How your background in robotics or computer science directly applies to May's focus on safe, sustainable transportation", 'Your strategy for identifying and addressing gaps in autonomy technology to support scalable deployments']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → May Mobility's current MPDM technology and any published papers or patents related to their autonomy systems
  • → Details on their commercial deployments (e.g., locations, vehicle types) to understand real-world application contexts
  • → The company's safety protocols and how they integrate with autonomy behavior in urban environments
  • → Recent news or press releases about May's advancements in electric or autonomous vehicles to align with their strategic goals

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe a time you improved a decision-making framework like MPDM in a robotics system—what metrics did you use?
2 How would you approach scaling May's autonomy technology for new commercial deployments while maintaining safety?
3 Discuss your experience leading a team of 10+ engineers through a technical challenge in autonomy or robotics
4 What gaps do you see in current autonomy technologies, and how would you build a roadmap to address them at May?
5 How do you balance innovation in autonomy algorithms with the need for stable, reliable performance in real-world deployments?
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⚠️ Common Mistakes to Avoid

  • Applying with generic autonomy experience without highlighting specific expertise in decision-making frameworks like MPDM or robotics in mission-critical systems
  • Failing to demonstrate leadership experience with teams of 10+ engineers or examples of handling complex autonomy challenges
  • Overlooking May's focus on commercial deployments and sustainability, making your application seem misaligned with their eco-friendly mission

📅 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:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

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Good luck with your application to May Mobility!

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