Drimva

Waymo

Sr. Staff Software Engineer, DUE Experience

$298K–$368K

Mountain View, CA +7 · Senior Staff · Full-time · Posted Jul 15, 2026

Location
Mountain View, CA
Seattle, WA
New York City, NY
Los Angeles, CA
Los Angeles, California, United States
Mountain View, California, United States
New York, New York, United States
San Francisco, California, United States
Experience
Typically 10+ years in software engineering.
Education
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.

About the job

Leads the technical strategy and development of agentic systems that automate event triage and support evaluation of the Waymo Driver.

What you'll do

  • Define architecture and technical vision for autonomous, multi-agent systems and event triage.
  • Design and guide scalable agentic frameworks using dynamic tool use, reasoning, and orchestration.
  • Coordinate across teams, set project roadmaps, and mentor engineers on agentic design.

What they ask for

  • Extensive software engineering experience building large-scale, complex systems.
  • Hands-on expertise building autonomous agents and multi-agent orchestration systems, and integrating LLMs with external tools/APIs.
  • Ability to define technical strategy and drive execution across multiple teams.
  • Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.

Nice to have

  • PhD in Computer Science or a related field specializing in AI/ML, or experience with agentic frameworks, knowledge graphs, or reasoning engines.
  • Familiarity with autonomous vehicle simulation, testing, or evaluation; proficiency in C++; production services; large-scale data processing; distributed systems; or Google’s or Waymo’s internal AI/ML platforms.

Pay

$298,000 — $368,000 USD (base salary)

Tools

LLMs, external tools/APIs, C++, agentic frameworks, knowledge graphs, reasoning engines

AI focus

Builds autonomous and multi-agent AI systems for event triage, including dynamic reasoning, planning, tool use, and workflow orchestration.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)