CPU Lead Performance Architect, Silicon

Overview

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.

As a Lead CPU Performance Architect in architecture and performance, you will be the key contributor to improve processor instruction set architecture, to develop innovative micro-architecture features, and deliver Google’s advanced SoC products. You will have the opportunity to collaborate with talents in Google’s Android applications and Google’s Artificial Intelligence (AI) teams to plan and conduct application and benchmark performance analysis, and to project their performance at various design phases.

The US base salary range for this full-time position is $183,000-$271,000 + 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.

About the job details include: compensation notes reflect base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google.

• Deliver solutions to problems, including Central Processing Unit (CPU) performance, micro-architecture design, tool infrastructure, and methodology.
• Plan, drive, and evaluate Advanced RISC Machine's (ARM's) architecture features from both architecture and performance angles.
• Define and write CPU subsystem architecture specifications.
• Lead the collaboration with RTL, design verification, and physical design teams to develop CPU implementation.
• Drive performance correlation between the performance model and RTL implementation, and perform pre-silicon and post-silicon performance bug triage.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 10 years of experience in high-performance microprocessor architecture, micro-architecture, performance, and design.
• Experience in C/C++ and scripting languages.
• Experience in performance modeling, analysis, correlation, and workload characterization.
• Experience with high-performance CPU architecture.

• PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Experience leading CPU/ML micro-architecture exploration, performance model development, performance analysis, performance correlation, and workload characterization.
• Knowledge of Android system software components, AI/ML.
• Familiarity with Advanced RISC Machine's architecture including all its extensions such as SME.

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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