Senior Software Engineer, Infrastructure, Persistent Disk

Senior Software Engineer, Infrastructure, Persistent Disk

Google Sunnyvale, CA, USA

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., C++).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience with test automation development.

• Master's degree or PhD in Computer Science, or a related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience with Solid State Drives (SSDs) and storage protocols.
• Experience with hardware accelerators.

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.

The Persistent Disk team provides the mission‑critical block storage foundation for Google Cloud, managing exabytes of data for millions of users and tens of thousands of enterprises. As part of the Virtualization and Offloads team, you will build high‑performance storage clients that run in both virtualized and bare‑metal environments, ensuring every Google Compute Engine Virtual Machine (VM) has the reliable, high‑speed storage it needs to grow.

In this role, you will design and implement the next generation of storage Input/Output (IO) paths, moving critical processing from software to hardware accelerators like smart Network Interface Cards (NICs). Working at the boundary of hardware and software, you will develop control and data planes where microseconds count, solving complex distributed systems issues to deliver performance comparable to locally attached disks.

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.

The US base salary range for this full‑time position is $174,000–$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

• Write and test product or system development code.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Work with cross‑functional teams across the entire Google Infrastructure software stack from hardware to Application, to define, implement, validate, and deploy the improvements.
• Work with storage…