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.
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 to 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
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 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
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Top Skills
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives.
Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
