at Google
Location
Sunnyvale, CA, USA
Compensation
$163k–$237k USD
Type
full time
Posted
5 days ago
Market range · company + function + seniority
p25 · target · p75 · n=215
Posted $237k · in the market band
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Join the team designing and developing the core components of Google's next-generation Tensor Processing Units (TPUs), the custom-built accelerators powering our AI and machine learning workloads in data centers.
As a PCIe Design Engineer, you will architect and implement SoC-level RTL for our next-generation data center accelerators. Beyond designing high-performance PCIe subsystems, you will build the foundational SoC infrastructure—including clocking, reset, error handling, and chip management—that powers our silicon. Your highly cross-functional role offers a "big picture" view of the product lifecycle from concept to production, requiring close collaboration with software and hardware teams to deliver accelerators.
This position offers the opportunity to work on challenging technical problems at the forefront of AI hardware, working in a dynamic and collaborative environment.
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 team 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.More open roles at Google
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