Software Engineer/Data Scientist, Planner Evaluation

Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

The Planner Evaluation team works on one of the main challenges in autonomous driving: improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers to help us understand and improve the reliability of Waymo's robotics systems so we can further improve Waymo's safety-first mission. If you are excited about using the large value of rich data to improve the reliability of our software, this is the role for you!

In this hybrid role, you will report to an Engineering Manager.

You will:

• Develop signals that are precursors to severe reliability issues

• Root cause subtle bugs and help fill gaps between on-road and Simulation issue discovery

• Extend our reliability discovery pipelines to cover new use cases

• Collaborate with engineers in the Simulator, Planner, and Perception teams to solve complex cross-functional problems

• Use ADV hardware to find pernicious and bedeviling bugs

• Drive improvements to issue-discovery-to-fix processes

You have:

• BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area

• Ability o navigate complex systems and pursue open-ended problems to completion

• 3+ years of industry experience with

• building data processing pipelines

• C++

• Python for modeling and/or statistical computing

• Proficiency in CI/CD tools (Jenkins, GitLab, etc.)

We prefer:

• Experience building and/or supporting modern microservice architectures (Kubernetes, AWS: EKS, ECS, ECR, RDS, S3, ALB, SNS, etc, GCP: GKE, Artifact Registry, Cloud Run, Cloud SQL, GCS, ALB, Pub/Sub, etc.)

• Experience building and distributed data processing pipelines (Spark, Beam, Airflow, etc.) and using SQL with large-scale warehouses (Snowflake, RedShift, BigQuery, etc.)

• Exposure to ad-hoc data analysis tools for rapid modeling and prototyping

• Excitement about detailed detective work in service of finding subtle errors

#LI-Hybrid