Senior Autonomy Engineer - Localization

May Mobility • Ann Arbor, MI

62d • $160,000 - $200,000

About The Position

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 300,000 autonomy-enabled 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.

Requirements

• Minimum of 5 years of experience in autonomous robotics system engineering with a broad focus across multiple aspects of autonomous robot components.
• Strong programming skills in C/C++.
• Experience taking components and systems through the full product lifecycle.
• Demonstrated strong troubleshooting and analytic skills at the system and subsystem level.
• Demonstrated ability to communicate effectively and clearly about complex system behaviors, structures, and issues.
• Bachelor's degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering or an applied engineering field.

Nice To Haves

• 10+ years of experience in autonomous robotic systems.
• 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.
• Some management experience (this is not a management position, but some first hand awareness of management issues is helpful).

Responsibilities

• Lead the solution of challenging and complex problems facing vehicle autonomy.
• Design future May autonomy systems and track down and solve the system’s most difficult issues.
• Ensure the integrated functioning of the autonomy system.
• Interact with sensor hardware, middleware, autonomy software stack, networking, health monitoring, compute platforms and electronic systems.
• Drive forward architectural design and hardware/software design through collaboration across other engineering groups.
• Create instrumentation to prove that the autonomy system is functioning correctly.
• Understand every aspect of the May vehicle architecture - hardware, software, networking, configurations.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees