TPU SoC Integration Engineer, Cloud
Listed on 2026-08-22
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Engineering
Hardware Engineer, Systems Engineer, Test Engineer
Google place Sunnyvale, CA, USA
MidExperience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
- 8 years of experience in ASIC design or RTL design.
- Experience with SoC design and integration.
- Experience with multi-chiplet SoC integration.
- Experience with SoC Design for Testing (DFT) planning.
- Experience scripting in Python or Perl or Tcl.
- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
- Experience with SoC signoff–Logic Equivalence Check (LEC)/Lint/Unified Power Format (UPF)/CDC/Reset Domain Crossing (RDC) flows.
- Cross-functional experience with Design Verification (DV), Physical Design (PD), Clock Domain Crossing (CDC) and DFT teams.
- Experience designing and constructing ASIC Input/Output (IO) pad-rings.
- Knowledgeable in 3
DIO methodology, voltage and clock domain partitioning. - Knowledgeable in ASIC top-level Static Timing Analysis (STA) and clock planning.
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive 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.
As an ASIC SoC Integration Engineer, you will drive the construction and architectural execution of advanced multi-chiplet SoC integration projects. This role demands deep cross-domain collaboration, working closely with ASIC Packaging and Interposer teams to orchestrate complex interposer planning and implementation, alongside multi-die DFT connectivity and packaging routing. You will leverage your understanding of multi-die integration concerns, 3
DIO technologies, and voltage and clock domain partitioning to build robust systems while addressing critical physical design implementation concerns. Utilizing your experience in architecting RTL solutions with software-based construction, instantiation, and generation, you will manage SoC IP integration and participate in layout design decisions and SoC-level sign-off activities, shaping the future of high-performance silicon layout. You will own the upper levels of RTL hierarchy up-to the package level and work closely with the Verification and Emulation teams to debug connectivity issues and optimize RTL compilation.
You will manage RTL deliverables to all stakeholders and plan RTL integration activities to meet project schedules.
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 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.
Aboutthe job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive 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…
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