Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Google’s Tensor Processing Units (TPUs) are incredibly complex, pushing the boundaries of physical design, power, and performance. In this role, you will provide technical leadership for the physical design of our next-generation AI silicon. Because of the sheer scale of our chips, our physical design leadership is highly dynamic; you will be expected to drive end-to-end execution with a scope that scales from owning highly complex, critical macro-subsystems up to overarching project-wide top-level implementation, depending on project needs.
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: $192000 - $279000 (USD) + 20% bonus target + equity + benefits
Learn more about
benefits at Google.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 10 years of experience with physical design and leading full-chip or massively intricate subchip implementation (e.g., from RTL2GDSII, including key stages like floorplanning, place and route, and timing closure) for high-speed ASICs in advanced process nodes.
- Experience in Python, Tcl, or Perl scripting.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with Cadence Innovus, Synopsys DP, Mentor Calibre, and StarRC, plus understanding of foundry technology files, rule decks, physical sign-off, and 2.5D/3D packaging.
- Technical leadership experience managing execution schedules, mitigating risks, and driving cross-functional collaboration with internal teams and external vendors.
- Understanding of performance, power, and area trade-offs, alongside knowledge of DFT including Scan, MBIST, and LBIST.
- Ability to navigate ambiguity, scale leadership across the physical design hierarchy, and excellent communication skills to articulate complex technical challenges to stakeholders.