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Alphabet · Sunnyvale, CA

Principal Scientist, Cloud AI Research

Sunnyvale, CA, USA +1 moreSenior individual contributorResearch & Science

Listed on Alphabet’s official careers site. Listed as of October 23, 2026. Check that it is still open and apply there.

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Job description

info_outline About the job As Principal Scientist, you will serve as the recognized technical leader within our strategic research areas. You will be responsible for driving our current and future research roadmap with regard to agentic AI platforms and design. You will have the autonomy to decide how to prioritize research into agentic platforms, maintaining a portfolio of research projects that are driven by product innovation, fundamental research, and infrastructure goals.

In this role, you will lead large-scale efforts by identifying future work, questioning traditional lines of thought, and synthesizing assets from various research areas to drive Google in new product or technology directions. By bridging the gap between advanced research and product development, you will help unlock high-impact vertical agents—such as AI planners, forecasters, and engineers—and horizontal agents that scale enterprise efficiency.

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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US

$307000 - $427000 (USD) + 30% bonus target + equity + benefits Learn more about benefits at Google .

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