RTL Design Engineer, Google Cloud - Sunnyvale

Google; Sunnyvale (CA); On-site; USD 138,000 - 197,000; Full time

Job summary

Google LLC is seeking an RTL Design Engineer to shape the future of AI/ML hardware acceleration, focusing on TPU architecture and its integration within AI/ML-driven systems. You will contribute to cutting-edge silicon solutions powering Google's AI capabilities for data centers.

You will join a team responsible for SoC-level RTL design for data center accelerators, designing RTL IP with emphasis on chassis infrastructure, fabric bridges, and sensor telemetry networks, collaborating across

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 2 years of experience in ASIC RTL design, with a focus on clocking, reset, or timing-critical RTL development.
• Experience in SystemVerilog for creating microarchitecture specifications and synthesizable RTL.
• Experience using Python, Tcl, or Perl for automating design tasks and data analysis.
• Experience with industry-standard EDA tools for simulation, synthesis, and power analysis.

Responsibilities

• Work independently to create and review clock control subsystem's design micro-architecture 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.
• Work 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.

Skills

ASIC RTL design

SystemVerilog

Python/Tcl/Perl scripting

Clocking/Reset/Timing

Education

Bachelor's in Electrical Engineering, Computer Engineering or Computer Science

Tools

EDA tools

Job description

corporate_fare Google place Sunnyvale, CA, USA

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info_outline X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 2 years of experience in ASIC RTL design, with a focus on clocking, reset, or timing-critical RTL development.
• Experience in SystemVerilog for creating microarchitecture specifications and synthesizable RTL.
• Experience using Python, Tcl, or Perl for automating design tasks and data analysis.
• Experience with industry-standard EDA tools for simulation, synthesis, and power analysis.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• 5 years of experience with high-performance ASIC design in Phase-Locked Loop, Frequency-Locked Loop, and Delay-Locked Loop integration.
• Experience implementing clock skipping, Dynamic Voltage and Frequency Scaling (DVFS), and fine-grained clock gating for low-power SoC optimization.
• Proficiency in Python or Perl for automating design scripts and analyzing complex clock-tree data.
• Knowledge of processor design or accelerators and of high-performance and low power design techniques.
• Understanding of clock distribution challenges, including jitter, skew management, and duty-cycle distortion.

About the job

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 a RTL Design Engineer, you will join a team working on SoC-level RTL design for our data center accelerators. You will design RTL IP with the focus on chassis infrastructure, including fabric bridges and sensor telemetry network, also participate in developing infrastructure and methodology that form the foundation of our SoCs (i.e., error handling, debug, chip management and SOC chassis, etc.). You will build a global understanding of how our accelerators are built from concept to production. This is a highly cross-functional role that will require you to coordinate and co-design with our software and system hardware counterparts. In this role, you will utilize a background in RTL design and lead multi-faceted efforts involving many stakeholders.

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.

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

About the job

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 a RTL Design Engineer, you will join a team working on SoC-level RTL design for our data center accelerators. You will design RTL IP with the focus on chassis infrastructure, including fabric bridges and sensor telemetry network, also participate in developing infrastructure and methodology that form the foundation of our SoCs (i.e., error handling, debug, chip management and SOC chassis, etc.). You will build a global understanding of how our accelerators are built from concept to production. This is a highly cross-functional role that will require you to coordinate and co-design with our software and system hardware counterparts. In this role, you will utilize a background in RTL design and lead multi-faceted efforts involving many stakeholders.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .

• Work independently to create and review clock control subsystem's design micro-architecture 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.
• Work 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.

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.