Senior Staff Engineer, DevAI

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.

Our mission is to build the next generation of AI-powered developer tools and agentic systems that accelerate the development of the Waymo Driver. We focus on transforming the Software Development Life Cycle (SDLC) through cutting-edge Generative AI and multi-agent frameworks, enabling our engineering teams to build, test, and deploy autonomous driving technology with unprecedented speed and quality.

This role follows a hybrid work schedule and reports to the Director of Engineering, DevAI

You will:

• Revolutionize the Inner Loop: Develop multi-agent frameworks and tools designed to enable engineers to write and test code significantly faster, with a focus on spec-driven development and context-aware code generation


• Build the Outer Loop: Design and deploy sophisticated agentic flows to automate complex engineering tasks, including root cause analysis agents, automated triage workflows etc.


• Enhance Driver Debugging: Create specialized agents for perception debugging to accelerate the troubleshooting of complex driving behaviors observed in the real world and simulation


• Productionize AI Models: Develop data pipelines and evaluation strategies to deploy state-of-the-art LLMs and agentic solutions into Waymo’s production environment


• Collaborate Across Waymo: Partner with engineering teams to understand their unique workflows and drive the adoption of novel DevAI tools

You have:

• Multi-Agent Systems: Hands-on experience building and deploying multi-agent frameworks and agentic AI systems


• SDLC Expertise: Deep understanding of modern software development lifecycles, with a passion for improving the developers velocity and innovation rate


• Spec-Driven Development: Proven track record of utilizing spec-driven development methodologies to build robust software


• Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG)


• Coding Excellence: Proficiency in architecting and delivering complex, large-scale software systems


• Leadership: Experience leading technical work across multiple interdependent teams


• Experience: 10+ years software development experience

We prefer:

• Master's or PhD in Computer Science or a related technical field, with a focus on AI/ML.


• Experience developing or applying AI-powered tools for software engineering.


• Deep understanding of modern AI architectures and techniques, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).


• Experience designing, building, and deploying agentic AI systems and frameworks, including multi-agent systems and their application to complex problem domains.


• Passion for improving developer experiences, and a vision for the future of AI-assisted software development.