The Weather and Degraded Roads Perception team builds features that enable the Waymo driver to behave safely and comfortably in the presence of rain, fog, snow, ice, potholes, unpaved roads, trenches, and construction sites. In collaboration with the planner and control teams, we think broadly about how we want the vehicle to behave in these conditions and make every effort to accomplish our goals. Most of the team’s work consists of designing new perception features, developing and retraining ML models, and building hybrid onboard/offboard systems to coordinate fleetwide behaviors. We also work with Vision Language Models (VLMs) to enable appropriate driving behavior in long-tail situations.

In this hybrid role, you’ll report to a Technical Lead Manager.

You will:

• Work with a creative team of people who are responsible for the vehicle’s behavior in inclement weather and around degraded roads.
• Develop hybrid onboard+offboard systems to coordinate the behavior of a fleet of autonomous vehicles.
• Work on a cutting edge project at the intersection of machine learning and fleet automation.

You have:

• BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
• 5+ years of industry experience
• Experience building distributed systems and working with server-side technologies like databases, RPCs, work-queues, etc.
• Experience programming in Python and C++
• Experience with building, training, integrating, debugging and evaluating ML-based systems
• Software architecture and design skills

We prefer:

• MS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
• Experience with autonomous vehicles (L4) or ADAS systems (L2/L3)
• Experience with sensor data processing (Lidar, Camera, or Radar)
• Experience applying Machine Learning to Perception problems

#LI-Hybrid