Circuit Design Engineer Assistant Jobs in California

corporate_fare Google place Sunnyvale, CA, USA ; Haifa, Israel ; +2 more ; +1 more

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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

• Bachelor's degree in Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience.
• 12 years of experience in Physical Design, Custom Digital Circuit Design, or Custom Layout.
• Experience delivering GDS for advanced nodes.

• Master's degree or PhD in Electrical Engineering, Computer Engineering, or a related technical field.
• Experience in custom digital design and low power design techniques.
• Experience with custom design tools and methods.
• Experience in Electromagnetic Modeling (EM) and its impact on physical layout (Inductors, T-lines).
• Experience in Co-Packaged Optics (CPO) physical implementation.
• Ability to build strategic goals for the intersection of AI-driven layout and traditional custom design.

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.

As the Lead Architect for Google’s custom back-end solutions for high-speed internal connections, you will set the design standards for our custom silicon. You will ensure our physical design methods can support data speeds of 1.6T and above while maintaining high manufacturing reliability and performance. You will create the design framework for our future hardware, solving complex engineering challenges in the latest manufacturing processes.

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.

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.

As the Lead Architect for Google’s custom back-end solutions for high-speed internal connections, you will set the design standards for our custom silicon. You will ensure our physical design methods can support data speeds of 1.6T and above while maintaining high manufacturing reliability and performance. You will create the design framework for our future hardware, solving complex engineering challenges in the latest manufacturing processes.

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.

US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google .

• Define the global back-end and custom Physical Design methodology, driving the transition to automated Analog and Mixed-Signal (AMS) flows and "Layout-Aware" design.
• Lead full custom digital circuit design at the transistor level optimized for low power.
• Evaluate and de-risk new process features in GAA (Gate-All-Around) nodes (e.g., Backside Power Delivery, Buried Power Rails) for high-speed analog use cases.
• Drive the long-term Roadmap for Area and Power density, ensuring our PHYs remain the most efficient in the industry.
• Act as the primary liaison with foundries to optimize Design for Manufacturing (DFM) and maximize yield for massive TPU-scale chips.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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