Google Systems Development Engineer II, AI Infrastructure

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Job Details

Posted date: Dec 19, 2025

Location: Kirkland, WA

Level: Mid

Estimated salary: $137,000
Range: $113,000 - $161,000


Description

Participate in on-call activities and manage the systems within the domain and work with the primary responders to help fix system issues.

Troubleshoot technical issues, evaluate technical data, and develop recommendations for systems and services within the domain, respond to tickets/bugs within team-defined service-level objectives (SLOs), and contribute to systems and services in related domains through bug reports and consultation.

Work with customers on defining distributed systems requirements, testing procedures, and proposing solutions.

Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.

Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.

Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.

In this role, you will have the exposure to integrated AI infrastructure systems (GPU or TPU), from hardware to software design and workload management, to developing large scale training and inference workloads, and optimizing performance.

The US base salary range for this full-time position is $113,000-$161,000 + 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.

2 years of experience with systems automation.

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

Preferred qualifications: 3 years of experience with systems design and implementation.



Extended Qualifications

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

2 years of experience with systems automation.

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



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