September 29, 2025

Software Engineer III, Infrastructure, Vertex Agent Engine

Mid • On-site

$141,000 - $202,000/yr

Sunnyvale, CA

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (C, C++, Python, or Go), or 1 year of experience with an advanced degree.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience with Generative AI Agent.
Experience developing large-scale applications on Cloud Infrastructure
Proficiency in code and system health, diagnosis and resolution, and software test engineering.

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.

Vertex Agent Platform team delivers the industry’s leading, enterprise ready agent platform that can power real world agentic use cases, along with state-of-the-art exemplar agents built on top of the platform. We build a high-code agent development SDK/Kit (aka ADK), a managed runtime (e.g., Agent Engine) with a suite of managed services (e.g., Session, Memory, ExampleStore, Sandbox, etc), agent inner-loop server (that brings the high-ceiling agentic capabilities on top of Gemini). We also worked closely with Orcas and GDM model quality team to upstream the enterprise agentic use cases to our foundation model team. Internally, we partnered with many teams across Google.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $141,000-$202,000 + 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 share 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 benefits at Google.

Responsibilities

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Develop robust and scalable backend leveraging Google Cloud Infrastructure (One Platform APIs, Serverless Compute, docker, Spanner, Workflow Orchestration etc) to process workloads.
Develop, implement, and test innovative solutions in the AI Agents.
Collaborate with researchers and engineers to improve the Agent quality.

Google

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.