Staff Software Engineer, Cloud AI Gemini Enterprise

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 Gemini Enterprise agent platform empowers businesses to build agentic experiences and drive goals. Our team delivers tools for providers to seamlessly integrate APIs via Model Context Protocol (MCP)/skills, evaluate, and hill-climbed optimize. We also build admin capabilities, optimize latency, drive code generation and execution, and enforce policy checks. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Collaborate with other gemini enterprise teams to build long term differentiation. Provide technical leadership on high-impact projects. Design and implement frameworks/techniques to optimize for reliability, quality and configurability. Influence and coach a distributed team of engineers. Help support customer issues and participate in on-call duties as needed. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Work on State of the art methods to enable agentic experiences for Google Cloud's enterprise customers. Design, develop, test, deploy, maintain, and enhance large-scale software solutions. 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 end-to-end Machine Learning (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. Experience building and understanding agentic AI, large language models (LLMs), and their application in customer-facing products. Experience with generative AI and building agentic systems