SoC Chip Architect, Google Cloud, Silicon

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent practical experience.
• 5 years of experience leading the architectural definition of high-performance So Cs from concept through production.
• Experience working and implementing multi-chiplet systems within silicon process technology.
• Experience with SoC architecture, including interconnects, memory hierarchies, and system-level reasoning.
• Experience writing architecture specifications.

Preferred qualifications:

• Master’s or PhD in Electrical Engineering or Computer Engineering.
• Experience with functional safety (Fu Sa) and hardware safety mechanisms designed to meet targets (e.g., ASIL).
• Experience in defining security architectures, debug infrastructure, and secure boot sequences.

About the job

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.

In this role, you will work to shape the future of an Edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.

You will be part of a team that pushes boundaries, developing autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.

As an SoC Architect at Google, you will lead the definition of a groundbreaking first-generation product family. You will bridge the gap between high-level system requirements and detailed chip implementation across domains, collaborating with cross-functional partners to design scalable, energy-efficient, and feature-rich IO So Cs.

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.

Responsibilities

• Lead SoC architecture across multiple teams and disciplines, including IP architects, design, verification, validation, firmware, security, power management, software and IP development.
• Architect and analyze different aspects, including multi chiplets connectivity, chip partitioning, package/board constraints, chip fabric and how SoC subsystems must support them.
• Define top-level SoC structures, detailing interconnects, clock distribution, and power domains to ensure seamless system integration and operational efficiency.
• Own the SoC architecture specification and lead it throughout the entire product lifecycle, concept, modeling, implementation, and silicon bring-up.
• Drive architectural analyses exploring different architectural/implementation alternatives, analyze and recommend the optimal solution balancing between performance, features, power, schedule, and cost.