Staff Technical Lead Manager, Planner Reasoning
Waymo · Mountain View, CA | San Francisco, CA · Planner (7LU)
About this role
Waymo is hiring a staff-level Technical Program Manager in the software engineering function based in Mountain View, CA | San Francisco, CA. The posting calls out experience with SQL, API Development, Machine Learning. Compensation is listed at $251,000–$310,000 per year.
- Role
- Technical Program Manager
- Function
- software engineering
- Level
- staff
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Mountain View, CA | San Francisco, CA
- Department
- Planner (7LU)
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.
The Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver’s behavior. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. As a Technical Lead, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities.
In this hybrid role, you will report to an Engineering Manager.
You will
- Working closely with leads and TLMs in the org to design and implement horizontal solutions to solve behavioral driving issues in new geos