Staff Software Engineer, Gemini Enterprise Agent Platform

About the role

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

The Vertex AI team empowers developers to build next-generation AI solutions. Partnering with Google DeepMind and Cloud AI Research, we bridge scalability and orchestration gaps across GCP (including Gemini and Workspace) to establish Google as the GenAI Agent market leader. As a Staff Software Engineer on the Orcas Agent Platform team, you will provide critical technical leadership. You will design sophisticated infrastructure and frameworks for GenAI agents, addressing scalability, reliability, and efficiency challenges. You will develop novel tools using the Agentic Development Kit (ADK) and Agent Engine to enable advanced, tool-using agents. Cross-functionally, you will influence product direction, advance techniques, and drive high-impact technology adoption for our enterprise and developer ecosystem.
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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google .