Job description

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, Waymo 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 Experience: 5+ 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 The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000 — $263,000 USD

Requirements

Must-haves

This role follows a hybrid work schedule and reports to the Director of Engineering, Waymo DevAI.
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
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
Experience: 5+ years software development experience
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

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aiml

Platform: greenhouse
Effort: quick

Benefits

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