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Google Sunnyvale seeks a PCIe Design Engineer to shape the PCIe/SoC RTL for next-generation data center accelerators. You will architect and implement SoC-level RTL, building core infrastructure like clocking, reset, and chip management, while collaborating with software and hardware teams to deliver high-performance accelerators.
You will contribute to TPUs and AI hardware efforts, verifying complex digital designs with emphasis on TPU architecture integration within AI/ML systems.
In most instances, this position requires in-person interviews as part of the hiring process.
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Join the team designing and developing the core components of Google's next-generation Tensor Processing Units (TPUs), the custom-built accelerators powering AI and machine learning workloads in data centers.
As a Peripheral Component Interconnect Express (PCIe) Design Engineer, you will architect and implement SoC-level RTL for our next-generation data center accelerators. You will build the foundational SoC infrastructure, including clocking, reset, error handling, and chip management that powers silicon beyond designing high-performance PCIe subsystems. In this highly cross-functional role, you will offer a "big picture" view of the product life-cycle 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 behind Google's groundbreaking innovations, empowering the development of 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: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .