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Software Engineer III, AI and Infrastructure, gVisor

Job in Kirkland, King County, Washington, 98034, USA
Listing for: Google
Full Time position
Listed on 2026-07-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 147000 - 211000 USD Yearly USD 147000.00 211000.00 YEAR
Job Description & How to Apply Below

Software Engineer III, AI and Infrastructure

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.

As an application kernel for containers, gVisor safeguards major Google services—including GKE Sandbox, Serverless, Big Query, Google Cloud Functions, and core AI/ML workloads like Gemini. Operating at massive scale, it manages tens of millions of concurrent sandboxes, hundreds of thousands of new instances per second, and billions of hourly requests. Having established itself as Google's premier internal container defense technology, gVisor is entering its next phase: scaling advanced capabilities for agentic workloads in alignment with Google Cloud strategy.

In this role, advocate by a team, our key priorities include sandboxing at scale, securing internal Google workloads, accelerating AI inference performance, and defining the standard runtime defense for enterprise AI agents.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits.

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