Google Software Engineer, Hybrid and On-prem AI Infrastructure

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Job Details

Posted date: Dec 10, 2025

Location: Kirkland, WA

Level: Senior

Estimated salary: $160,500
Range: $132,000 - $189,000


Description

Contribute significantly to the goal for the Hybrid and On-prem Infrastructure business by assisting in defining and delivering architecture and roadmap initiatives. Collaborate with product and go-to-market leaders to implement strategies for our migrate, modernize, and workload efforts. Work with peer engineers and managers within Google teams and external partners to influence product and team direction. Partner with internal cross-functional organizations and external vendors and partners.

In this role, you will build the software foundation that powers and manages this advanced hardware. You will work on a vertically integrated system, contributing to every layer of the stack. Your work will include developing services in Go/Python to automate the entire life cycle of our hardware testbeds, from initial provisioning to ongoing fleet management. You will build automation for OS installation and software deployment using custom installers like Subiquity and will solve unique engineering issues associated with managing both Google-networked and fully air-gapped hardware environments. You will design and manage the databases (like CloudSQL) that serve as the source of truth for the state and health of thousands of machines.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.

The US base salary range for this full-time position is $132,000-$189,000 + 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. Learn more about benefits at Google.



Qualifications

Minimum qualifications: Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

3 years of experience with systems automation, and with systems design and implementation.

3 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting).

Preferred qualifications: 3 years of experience working with vendors or customers.

Extended Qualifications

Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

3 years of experience with systems automation, and with systems design and implementation.

3 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting).



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