Staff Software Engineer, DUE Experience
Waymo
Los Angeles, CA, US
Onsite
2026-06-25
Announced salary
$251k–$310k
Low
$102K
Median
$142K
High
$183K
Market in Los Angeles · BLS OEWS 2025
Job description
LOS ANGELES, CALIFORNIA, UNITED STATES \| MOUNTAIN VIEW, CALIFORNIA, UNITED STATES \| SAN FRANCISCO, CALIFORNIA, UNITED STATES \| NEW YORK CITY, NEW YORK, UNITED STATES
FULL\-TIME
SOFTWARE ENGINEERING
5090
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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 Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver.
**You will:**
* Own the architectural design and hands\-on development of robust Agentic AI components, focusing on multi\-agent orchestration, tool execution, and reasoning loops for event triage.
* Engineer scalable agentic workflows using modern LLM orchestration frameworks to automate and augment triage capabilities for Engineering and SWQOps.
* Implement stateful agentic infrastructure, including long\-term memory management (RAG, vector databases), semantic routing,