The AI and Infrastructure Software Engineer role at Google focuses on developing the virtualization subsystem at scale. The position involves working on the Cloud Hypervisor, enhancing virtualization layers for Technical Infrastructure. Engineers will be responsible for ensuring compatibility across product lines and hardware configurations while driving the development of specialized tooling. This role requires a blend of software engineering and operational expertise to tackle complex challenges in virtualization.

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, and with data structures and algorithms.
• 2 years of coding experience in C or C++.
• Experience with Operating Systems and Hypervisor.
• 1 year of experience with software design and architecture.

• Drive the development of the virtualization subsystem at Google scale.
• Design and implement automation frameworks for build, CI/CD, and qualification testing specifically tailored for Rust-based VMMs.
• Support the delivery of the virtualization layer across millions of production hosts.
• Build out an observability framework to provide transparency into VM health and I/O performance.
• Drive the development of specialized tooling to support engineering practices within the virtualization and systems programming space.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.