Staff Software Engineer, Multiverse
Waymo · San Francisco, CA | Mountain View, CA · Simulation (7XW)
About this role
Waymo is hiring a staff-level Software Engineer based in San Francisco, CA | Mountain View, CA. The posting calls out experience with Python, SQL, Distributed Systems, System Design. Compensation is listed at $238,000–$302,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Francisco, CA | Mountain View, CA
- Department
- Simulation (7XW)
More roles at Waymo
Job description
from Waymo careersWaymo 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.
As the Tech Lead for the software-fault release evaluation team, lead the development of the end-to-end system that administers a simulation-based “virtual driver’s test” for the Waymo Driver to discover lingering software faults, e.g. “divide-by-0” or “out-of-memory”, that would affect the Waymo Driver’s system reliability in the real world.
You Will:
- Oversee and contribute to ongoing operations and administration of the “virtual driver’s test” to support Waymo’s software deployment schedule.
- Make strategic investments to measure and improve the signal quality provided by the “virtual driver’s test”. Work with partner engineering and data science teams to answer whether the results of the “virtual driver’s test” are predictive of the Waymo Driver’s real-world driving behavior.