Staff Software Engineer, Vertex Agent Platform
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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.
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 3 years of experience with software design and architecture.
- Experience building and scaling Machine Learning Infrastructure.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.
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.The Vertex Agent Platform team delivers the industry’s leading, enterprise-ready agent platform that can power real-world agentic use cases, along with agents built on top of the platform. We build a high-code agent development SDK/Kit (also known as ADK), a managed runtime (the Agent Engine) with a suite of managed services (e.g., Session, Memory, Example Store, Sandbox, etc.), and an agent inner-loop server (that brings the high-ceiling agentic capabilities on top of Gemini). We work closely with the Orcas and GDM model quality teams to upstream the enterprise agentic use cases to our foundation model team. Internally, we partner with many teams across Google to bring the cohesive agent platform that powers use cases such as the data science agent, research agent, and computer use agent, etc.
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.Responsibilities
- Build scalable infrastructure and products on Google Cloud that power AI Agents in production. You will collaborate closely with our researchers and engineers to productionize innovative techniques with enterprise readiness.
- Influence and coach a distributed team of engineers.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
- Provide technical leadership on high-impact projects.
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