Waymo
Overview
Waymo is seeking a Software Engineer, Perception for the Weather and Degraded Roads Perception team. This hybrid role reports to a Technical Lead Manager. The team builds features that enable the Waymo driver to behave safely in rain, fog, snow, ice, potholes, unpaved roads, trenches, and construction sites. In collaboration with the planner and control teams, we design perception features, develop and retrain ML models, and build 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. Responsibilities
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 Location
Palo Alto, CA; Mountain View, CA
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Waymo is seeking a Software Engineer, Perception for the Weather and Degraded Roads Perception team. This hybrid role reports to a Technical Lead Manager. The team builds features that enable the Waymo driver to behave safely in rain, fog, snow, ice, potholes, unpaved roads, trenches, and construction sites. In collaboration with the planner and control teams, we design perception features, develop and retrain ML models, and build 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. Responsibilities
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 Location
Palo Alto, CA; Mountain View, CA
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