Senior Autonomy Engineer - Localization

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. As a Senior Autonomy Engineer on the Mapping & Localization team, you will architect solutions for complex challenges in vehicle autonomy and ensure high-confidence data essential for safe operation across diverse Operational Design Domains.

Responsibilities:

• Design, implement, test, and optimize state-of-the-art localization software and systems that maintain high confidence in challenging urban, suburban, and rural scenarios, including GPS-denied urban canyons, foliage, and areas with high moving agent density
• Lead and participate in team code quality initiatives, including comprehensive design and code reviews
• Take initiative to understand every aspect of the May vehicle architecture - hardware, software, networking, configurations - all of it
• Take initiative to find and permanently solve challenging system level issues caused by the interplay between different software and hardware components
• Troubleshoot and support solutions to challenging field issues
• Collaborate and lead system-wide improvements when working with other teams without having direct ownership or management responsibility
• Design, build, and maintain the May autonomy system architecture and cross functional autonomy components
• Assess and develop approaches that improve performance in a variety of ways (e.g. CPU performance, memory usage, disk usage, network usage)
• Assess and improve system robustness to systematic stochastic and transient issues that impact autonomous vehicle performance
• Support other autonomy engineers in designing and integrating their components with the full May system

Requirements:

• Minimum of 5 years of industry experience in autonomous robotics engineering, with a heavy focus on State Estimation, Localization, or SLAM
• Strong programming skills in C/C++
• Experience taking components and systems from initial research/algorithm design through the full product lifecycle
• Demonstrated strong troubleshooting and analytic skills at the system and subsystem level
• Strong background in probabilistic robotics, multi-modal sensor fusion, and sensor calibration
• Demonstrated ability to communicate effectively and clearly about complex system behaviors, structures, and issues. Ability to explain why a localization module failed in a specific scenario to both a technical peer and a non-technical stakeholder
• Bachelor's degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering or an applied engineering field
• 10+ years of experience in autonomous robotic systems
• Hands-on experience with factor graph libraries (GTSAM, Ceres, or g2o)
• Experience with autonomous cars, trucks, or similar vehicles
• A masters or PhD degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering or an applied engineering field
• Previous experience in a startup or high performance research and development group with an emphasis on delivery
• Experience leading a technical project or mentoring junior engineers (even in a non-managerial capacity)