Onboard Frameworks Software Engineer
Waymo · Mountain View, CA · Sys Intel and Machine Lrng (SQT)
About this role
Waymo is hiring a mid-level Software Engineer based in Mountain View, CA (hybrid). The posting calls out experience with API Development, A/B Testing and roughly 3+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $170,000–$216,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Mountain View, CA
- Work mode
- Hybrid
- Experience
- 3+ years
- Education
- Bachelor's degree
- Department
- Sys Intel and Machine Lrng (SQT)
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 Onboard Frameworks Team provides the building blocks used to implement Waymo's onboard software stack. The team works closely with onboard engineers to design, launch, and land key APIs, development workflows, and tools to accelerate the pace of development across the company.
In this Hybrid role, you will report to a Software Engineer.
You will:
- Design, implement, and deploy core C++ APIs supporting all of: asynchrony management, experimentation, multi-platform deployments, data extraction workflows, debug journeys, and system visualization
- Holistically understand the lifecycle of Waymo's code and how it is used, to optimize it across all operating environments- on the car and in simulation