Job Description
Who you are 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 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 What the job involves This role follows a hybrid work schedule and reports to the Director of Engineering, 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 Benefits Medical, dental, and vision insurance for employees and dependents Employee assistance programs focused on mental health Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations Access to mental health apps Onsite wellness centers Second medical opinion for you and your loved ones Medical advocacy program for transgender employees Counseling services Support programs including menopause benefit Competitive compensation Regular bonus and equity performance grant opportunities Generous 401(k) and regional retirement plans Annual cross-company compensation review and pay equity analysis 1-on-1 financial coaching Fertility and growing family assistance Parental leave and baby bonding leave Caregiver leave Elder care and support Backup childcare Survivor income benefit Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays Jury duty leave Military leave Hybrid work model with remote work opportunities also available Educational reimbursement Peer learning and coaching platform Donation matching programs Employee resource groups Volunteer hours Internal community groups and local culture clubs Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts On-site meals and snacks Fitness centers, massage programs, and ergonomic support On-demand fitness, wellbeing, and cooking classes Commuter benefits