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 500,000 autonomous 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.
Essential Responsibilities
- Architect and lead the development of a production-grade, multimodal localization stack, integrating Cameras, LiDAR, Radar, GNSS, and IMU data to ensure centimeter-level accuracy and high availability.
- Design and implement advanced state estimation frameworks, such as Factor Graphs or sliding-window optimization (e.g., GTSAM, Ceres), optimized for real-time performance and robustness against sensor degradation and across diverse Operational Design Domains (ODDs).
- Own the localization integrity and safety strategy. Develop sophisticated uncertainty estimation and fault detection, isolation, and recovery (FDIR) mechanisms to meet stringent safety requirements.
- Drive technical roadmaps for next-generation localization techniques, including map and sparse landmark-based localization (Vision/LiDAR/Radar), visual-inertial odometry (VIO), and wheel-inertial odometry.
- Lead cross-functional system integration, developing software and system requirements while defining technical interfaces and performance contracts (e.g., state estimation and uncertainty bounds) between Localization and upstream and downstream modules like Perception, Behavior, Policy, and Prediction.
- Establish rigorous evaluation frameworks and metrics for localization performance, including pose accuracy, temporal consistency, and system-level reliability across diverse ODDs.
- Spearhead major feature development including high-level architecture design, code reviews, issue diagnosis, and technical resolution.
- Provide high-level technical mentorship to senior and junior engineers, conducting deep-dive design and code reviews and fostering a culture of engineering excellence and rigorous validation.
- Stay at the research frontier, evaluating and adapting cutting-edge techniques in SLAM, deep-learned localization features, and large-scale map-matching to deliver production-ready solutions.
Qualifications and Experience
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Required
- Ph.D. or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field with a deep mathematical foundation in state estimation.
- 10+ years of industry experience developing and deploying high-performance localization or state estimation systems for autonomous robots or vehicles, with at least 5 years in a lead/staff/principal technical role.
- Expertise in modern state estimation techniques: Deep understanding of probabilistic robotics, Factor Graphs or sliding-window optimization (e.g., GTSAM, Ceres), and Kalman filtering.
- Advanced Sensor Fusion: Proven track record of fusing disparate data sources including Cameras (Visual Odometry), LiDAR (ICP/NDT), Radar, IMU, and GNSS.
- Strong C++ Programming: Mastery of modern C++ (14/17/20) in a Linux environment, with a focus on real-time constraints, multi-threading, and performance optimization.
- System Architecture: Experience designing modular, testable software architectures for safety-critical systems.
- Leadership: Demonstrated ability to drive technical roadmaps and architectural standards while mentoring senior engineers from inception to fleet-wide deployment.
Desirable
- 12+ years of industry experience developing and deploying high-performance localization or state estimation systems, including success navigating the full product lifecycle from R&D to commercial scale-up.
- Experience with SLAM (Simultaneous Localization and Mapping) for large-scale urban, suburban, and rural environments.
- Experience with deep-learning based localization features or neural state estimation.
- Expertise in vehicle dynamics modeling and wheel odometry calibration.
- A proven record of technical leadership, inventions (patents), or publications in top-tier robotics conferences (e.g., ICRA, IROS, RSS).
Physical Requirements
- Standard office working conditions which includes but is not limited to:
- Prolonged sitting
- Prolonged standing
- Prolonged computer use
Travel required? - Moderate: 11%-25%
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 as well as a phased return to work.
- Flexible vacation policy in addition to 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.