Senior Autonomy Engineer - LIDAR

May Mobility

Finance

201-500

Ann Arbor, MI, USA

About the job

Overview:

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.
Job Summary
As a Senior Autonomy Engineer - LIDAR, you will lead the solution of challenging and complex problems facing vehicle autonomy.  You will lead the design of future May autonomy systems and track down and solve the system’s most difficult issues.
Your Opportunity to Drive Success
You will have an opportunity to independently impact our approach to solving the most interesting problems facing AV’s today, while operating live in the wild.

Collaborate with other machine learning and robotics engineers to design, implement, test, and deploy robust, generalizable perception solutions for autonomous vehicles
Work independently with cross-functional teams to develop software and system requirements
Develop, test, and deploy software in C/C++/CUDA
Lead team code quality activities including design and code reviews
Track and Trend technical performance of the system in the field
Provide technical guidance to Technical Support Team on issue diagnosis and resolution

Required Qualifications

A minimum of 5+ years of industry experience working on real-world robot perception systems (should have implemented at least two commercial projects working at a systems level, developing perception software as part of a larger robotics system)
Masters' or PhD's degree in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)
Object Detection/Segmentation/Tracking in Lidar, Vision, or LiDAR-Camera sensor fusion
Solid experience on applying Machine Learning or Deep Learning Technologies to LiDAR or Sensor Fusion
Strong experiences on large-scale data driving and data analysis system to understand LiDAR, Vision, Sensor Fusion system
Strong programming skills in C/C++ and experience with software development in a Linux environment
Familiarity with standard development tools such as git, and CI/CD pipelines
Experiences on fast ML development cycle
Experiences on ML model optimization and deployment

Desired Qualifications

Strong background in one of the robot perception areas discussed above as demonstrated by developing and delivering to fielded robots multiple capabilities that solve critical problems in perception
Demonstrated ability to mentor and support more junior engineers in learning and contributing to robotics development and testing
Experience with python, machine learning software frameworks, and GPU programming in CUDA or related higher-level languages

Physical Requirements

Standard office working conditions which includes but is not limited to:

Prolonged sitting
Prolonged standing
Prolonged computer use
Lift up to 50 pounds