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. May’s Next Generation Autonomy team is at the front line of defining the future of autonomous vehicles. From algorithmic system architecture to new sensors and computational platforms, the Next Gen Autonomy team is where your breadth of technical knowledge and engineering excellence will turn into a comprehensive and tangible product you can be proud of. Next Gen Autonomy Engineers lead the solutions of challenging and complex architecture and design problems that bridge current and future implementations of Autonomous Vehicles. You will be responsible for both initial designs and production-level implementations of prototyping upcoming generations of May vehicles. You will drive forward the fulfillment of our Operational Design Domain needs through expanding and streamlining perception sensor selection; prototyping novel algorithms that utilize new and existing sensors; designing and implementing AV architectures that bring state-of-the-art robotics research and hardware platforms together. You will be a go to person for understanding how new features will fit into the future systems, how the system will operate under different conditions, how to best evolve the system to be more effective or efficient, and how to keep the system robust and reliable Role Overview: As an autonomy engineer, you will be a critical contributor to the design, development, and deployment of new system architectures, vehicle design, sensor selection, and corresponding advanced machine learning solutions. This position reports to the Director of Autonomy Systems.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees