CPU Performance Architect

Google LLC; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Equity

Bonus potential

Benefits

Job summary

Google LLC is seeking a senior silicon/architecture-focused engineer in Mountain View, CA to perform deep-dive microarchitectural analyses, design power and performance experiments on real silicon, and build early power/performance models. You will partner with CPU architects and cross-functional teams to set realistic power/performance goals for future Google silicon.

You will leverage C/C++ for modeling and Python for data analysis, with 8+ years in performance analysis and workload

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• 8 years of experience with performance analysis, microarchitectural bottleneck isolation, and workload characterization.
• Experience with C/C++ for architectural modeling and Python for data analysis and automation.

Responsibilities

• Lead deep-dive microarchitectural analysis on silicon to isolate pipeline stalls and bottlenecks.
• Design and run advanced power and performance experiments on physical silicon with compute workloads.
• Develop early-stage power/performance models for 'what-if' scenarios.
• Collaborate with CPU architects and cross-functional teams on power/performace goals.

Skills

Performance analysis

Microarchitectural bottleneck analysis

Workload characterization

C/C++ for architectural modeling

Python scripting

Education

Bachelor's degree in Electrical/Computer Engineering or Computer Science

Master's or PhD in EE/CS with emphasis on computer architecture

Tools

ARM ISA ecosystem

Linux kernel knowledge

Job description

corporate_fare Google place Mountain View, CA, USA

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.
• 8 years of experience with performance analysis, microarchitectural bottleneck isolation, and workload characterization.
• Experience with C/C++ for architectural modeling and scripting languages (specifically Python) for data analysis and automation frameworks.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience with the ARM instruction set architecture (ISA) and ecosystem.
• Experience characterizing and optimizing mobile or client platform power/performance and thermal management states (e.g., DVFS).
• Understanding of low-level system software components, including the Linux kernel, device drivers, power management frameworks, and runtimes.

About the job

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.

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.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .

• Lead deep-dive microarchitectural analysis on silicon to isolate and quantify pipeline stalls, memory hierarchy bottlenecks, and instruction-level inefficiencies to drive root-cause resolution.
• Design, build, and execute advanced power and performance experiments on physical silicon to rigorously correlate pre-silicon projections with post-silicon reality across general-purpose and AI/ML compute workloads.
• Develop and maintain early-stage power and performance models to evaluate complex architectural "what-if" scenarios, driving hardware-software co-optimization.
• Partner closely with lead CPU architects and cross-functional teams to define dynamic, realistic power and performance goals for future Google silicon.

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.