Staff Software Engineer, Machine Learning, Planner Selection

Waymo
Mountain View, California, USA / Mountain View (US-MTV-EMF680), Mountain View, California, United States2025-08-20

About the job

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. In this hybrid role, you will report into a TLM of Planner Technology.

Responsibilities

Investigate driving behavior issues from logs and understand the root cause

Improve performance of the state of the art ML models in Planner

Develop foundational frameworks that help advancement of the Waymo Driver's capabilities.

Expand the impact of ML models while preserving interpretability and behavioral guarantees

Directly contribute to solving some of the most challenging driving situations in the long tail.

Qualifications

Minimum

Masters or PhD degree in Computer Science, Machine Learning or a similar discipline.

Proficiency in C++ or Python

Experience with Machine Learning models in production systems

Preferred

AV or Robotics experience

8+ years of Software Engineering experience in complex systems