Senior Autonomy Engineer - Localization
May Mobility is seeking a Senior Autonomy Engineer to join our Mapping & Localization team. This role involves leading the design and implementation of advanced localization software and systems, ensuring high-confidence state estimation and spatial awareness across diverse operational domains. As a key member of our team, you will contribute to our mission of transforming urban mobility through autonomous technology.
In this position, you will be responsible for developing and optimizing state-of-the-art localization solutions capable of operating effectively in challenging environments, including GPS-denied urban areas and regions with high densities of moving agents. Your day-to-day activities will include conducting comprehensive design and code reviews, troubleshooting complex system-level issues, and collaborating with cross-functional teams to enhance system performance and robustness.
The ideal candidate will have a minimum of 5 years of industry experience in autonomous robotics engineering, with a strong focus on state estimation, localization, or SLAM. Proficiency in C/C++ programming is essential, along with a solid background in probabilistic robotics, multi-modal sensor fusion, and sensor calibration. A bachelor's degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field is required.
May Mobility offers a competitive salary range of $160,000 to $200,000 USD, along with a comprehensive benefits package that includes medical, dental, vision, life, and disability plans. Additional perks include health savings and flexible spending accounts, rich retirement benefits with an immediately vested employer safe harbor match, generous paid parental leave, and a flexible vacation policy complemented by 18 paid company holidays.
Joining May Mobility means becoming part of a team dedicated to creating safer, greener, and more accessible urban environments through cutting-edge autonomous technology. We value initiative, data-driven decision-making, and a collaborative approach to solving real-world problems. If you're passionate about shaping the future of transportation and eager to see the tangible impact of your work, we encourage you to apply.