manager machine learning AI Infrastructure Engineer ic · Posted May 4, 2026
$192,000 – $278,000
USD per year

About this role

Google is hiring a manager-level AI Infrastructure Engineer in the machine learning function based in Kirkland, WA | Austin, TX. The posting calls out experience with Distributed Systems, System Design, GCP, DevOps. Compensation is listed at $192,000–$278,000 per year.

Role
AI Infrastructure Engineer
Function
machine learning
Level
manager
Track
Individual contributor
Employment
Full-time
Location
Kirkland, WA | Austin, TX
Posted
May 4, 2026

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Job description

from Google careers

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. As…

This is an excerpt. Read the full job description on Google careers →
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