Senior Physical Design Engineer, AI Methodologies And Acceleration

Senior Physical Design Engineer, Ai Methodologies And Acceleration

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 digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

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.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Responsibilities:

• Own physical design blocks or partitions from RTL to-GDSII flow, executing all aspects including floorplanning, placement, clock tree synthesis, routing, and physical verification to ensure successful tape-out.
• Drive the closure of timing, power, and signal integrity for high-performance designs, utilizing your experience to navigate Engineering Change Orders (ECOs) and design rule constraints.
• Collaborate with Google DeepMind to incorporate AI-driven tools into the production flow by testing new algorithms on your blocks, ensuring they provide tangible improvements in power, performance, area (PPA) and turn-around-time (TAT).
• Analyze the physical design life-cycle to distinguish between problems that require traditional engineering heuristics and those that are suitable for AI acceleration.
• Partner with Computer Aided Design (CAD) and methodology teams to transition validated AI prototypes into stable, production-supported features for the wider PD organization.

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.

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