Software Engineer III, AI and Infrastructure, gVisor

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience with cloud compute platforms (e.g., Kubernetes, Google Cloud Functions).
• Experience working with Linux Kernels internals.
• Experience in software development using one or more programming languages, including but not limited to Java, C/C++, Python, JavaScript, or Go.

Preferred qualifications:

• Experience working with network and security protocols in operating systems (e.g., Unix, Linux).
• Experience in device driver development, with a focus on GPU drivers.
• Experience working on operating system kernels, including CPU scheduling, memory management, or resource allocation.
• Experience with container runtimes and scheduling engines (e.g., Kubernetes, Docker, containerd).
• Experience in performance optimization, tuning, or debugging of distributed systems or cloud-based applications.
• Experience working with network stacks, network protocols, or network device drivers.

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.

As an application kernel for containers, gVisor safeguards major Google services—including GKE Sandbox, Serverless, BigQuery, 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.

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.

Responsibilities:

• Increase gVisor performance and compatibility with new types of workloads(including implementing any syscalls or upstream Linux features that may be required). Specifically, sandboxed hardware-accelerated inference tasks and computer-use workflows will be important.
• Work with the GKE team to shape the industry standard for running agentic workloads and sandboxing (Collaborating on implementation of new testing, monitoring, and orchestration infrastructure).
• Develop an understanding of the overall project and current technical roadmap. Proactively define milestones, identify features or deficiencies that matter to users (current and future). Work with other engineers on the team to guide these projects.
• Work with team to invest and grow the OSS project. (define the OSS strategy, providing clarity and plans around Google-internal vs external features, and ensuring that business objectives are met while supporting a healthy OSS community).