Senior Software Engineer, Infrastructure

Software Engineer 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. Engineering the virtualization layer at Google scale offers the unique challenge of building highly secure, memory-safe infrastructure for one of the world's largest distributed fleets. In this role, you will lead the evolution of Rust-based VMMs and IOMMU subsystems to deliver industry-leading isolation, performance, and reliability. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google. Responsibilities Lead the development of the virtualization subsystem (VMM, CHV) at Google scale. Lead the development of specialized tooling to support engineering practices within the virtualization and systems programming space. Design and implement automation frameworks for build, CI/CD, and qualification testing specifically tailored for Rust-based VMMs and guest isolation layers. Support the delivery of the virtualization layer across millions of production hosts, ensuring compatibility across various product lines and hardware configurations. Build out observability framework to provide transparency into VM health and I/O performance, supporting a more data-driven and efficient release process. Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages (e.g., C, C++ or Go). 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. Experience in systems programming, kernel-level development, and virtualization architectures. Experience in core infrastructure (e.g., Virtual Machines, Operating Systems, Infrastructure as a Service, Networking, Storage, Security, Hypervisor). Preferred qualifications: Experience with virtualization. Experience in algorithms, data structures, complexity analysis and software design, or in Unix/Linux systems, IP networking, performance and application issues. Experience in production infrastructure, and working in both engineering and operational environments: this team has one foot in each, and the successful individual will be able to bridge that divide. Knowledge of CI/CD best practices. Ability to take on challenges that bridge complex stakeholder contexts and take concerted, long-term goal and investment. Excellent communication skills. CompliancePoint