Staff Software Engineer, Generative AI, Search Developer Tools

Staff Software Engineer, Generative AI, Search Developer Tools corporate_fare Google place Mountain View, CA, USA bar_chart Advanced Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum qualifications:

Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

Master's degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. Experience in developing and scaling developer-facing tools and platforms. Demonstrated success in architecting and building agentic solutions suitable for large, complex ecosystems like Google Search. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Search AI Developer Platform team in Search Platforms is tasked with 10X'ing search developer velocity leveraging agentic development. In this role, you will improve product velocity for AI Overviews and AI Mode, while at the same time reimagining every aspect of how developers land that impact. In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . Responsibilities Lead the architecture, design, and development of robust, scalable agentic solutions, including core components, tools, and libraries, to power and advance our APO platform, driving significant enhancements in model performance, efficiency, and quality. Address key challenges in human-AI collaboration, ensuring agents seamlessly integrate into and enhance existing developer workflows. Track and analyze key performance indicators for owned components, proposing data-driven iterations to improve launch velocity and reduce developer friction. Promote best practices in AI-assisted software development within the team and knowledge of agentic techniques. Own the end-to-end integration of tools and skills, collaborating deeply with other teams to ensure seamless accessibility within the broader Google ecosystem, while navigating ambiguity and aligning stakeholders to achieve project goals.