RTL Design Engineer, TPU

RTL Design Engineer, TPU Location: Sunnyvale, CA, USA

Experience Level: Mid

Overview: 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, leveraging your design and verification expertise to verify complex digital designs, specifically focusing on TPU architecture and its integration within AI/ML-driven systems.

Responsibilities:

• Work separately to create and review management and control subsystem's design microarchitecture specifications.
• Develop SystemVerilog RTL to implement logic for ASIC products according to established coding and quality guidelines.
• Work with architecture and power teams to evaluate features and their impact.
• Collaborate with design validation (DV) teams to create test plans to verify and debug design RTL.
• Work with physical design teams to ensure design meets physical requirements and timing closure.

Minimum Qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• Experience with scripting languages.

Preferred Qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture.
• 8 years of experience in ASIC design.
• Experience interacting with software, system hardware, and other cross-functional teams.
• Experience with chip management, clocking, reset, and peripherals like I2C, SPI, UART, etc.
• Understanding of digital design fundamentals, including synchronous and asynchronous logic, state machines, and bus protocols.

Compensation: Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

• US Salary Range: $163,000 - $236,000 (USD) + 15% bonus target + equity + benefits

About the Team: 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 are 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.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

Alphabet

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