Improving the reliability of Waymo's robotics systems to further improve Waymo's safety-first mission.
Requirements
- Building data processing pipelines
- C++
- Python for modeling and/or statistical computing
- Proficiency in CI/CD tools (Jenkins, GitLab, etc.)
- Experience building and/or supporting modern microservice architectures (Kubernetes, AWS, GCP)
- Experience building and distributed data processing pipelines (Spark, Beam, Airflow, etc.)
- Using SQL with large-scale warehouses (Snowflake, RedShift, BigQuery, etc.)
Responsibilities
- 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
Other
- 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
- Excitement about detailed detective work in service of finding subtle errors
