AI and Infrastructure Software Engineer, Virtualization

Minimum qualifications:

• 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 experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 2 years of coding experience in C or C++.
• Experience with Operating Systems and Hypervisor.
  

Preferred qualifications:

• Experience with virtualization.
• Proficiency in algorithms, data structures, complexity analysis and software design or expertise in Unix/Linux systems, IP networking, performance and application issues.
• Knowledge of CI/CD best practices.
• Software quality background, and pragmatism to apply it to one of the more complex testing/production qualification contexts Google has.
• Comfort working in both engineering and operational environments.
• A predilection to taking on challenges that bridge complex stakeholder contexts and take concerted, long-term goal and investment.
  

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Mission: To redefine the boundaries of cloud efficiency and security by evolving the virtualization layer for Technical Infrastructure (TI). By investing in Cloud Hypervisor (CHV) as our primary Rust-based Virtual Machine Monitor (VMM), we aim to provide a streamlined, reduced-surface-area environment for creating VMs on TI hosts.

Beyond the VMM, we are deepening our focus on hardware-level isolation and I/O performance. This includes sophisticated IOMMU (Input-Output Memory Management Unit) integration to secure DMA and interrupt remapping, ensuring hardware devices remain strictly confined to guest-specific memory regions. We are building a virtualization stack that maximizes density and security without compromising on near-native execution speeds.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities:

• Drive the development of the virtualization subsystem (VMM, CHV) at Google scale. 
  
• Drive 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 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.