Senior Software 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, 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 fac

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