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Minimum qualifications:

+ Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.

+ 5 years of experience in microprocessor architecture, microarchitecture, performance, or advanced CPU design.

+ Experience in CPU architecture, C/C++, and scripting languages (e.g., Python).

+ Experience in performance modeling, analysis, correlation, and workload characterization.

Preferred qualifications:

+ Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, or a related technical field.

+ Experience in microprocessor instruction set architecture (e.g., ARM, RISC-V, x86).

+ Experience in CPU/Machine Learning (ML) microarchitecture exploration, performance model development, performance analysis, performance correlation, or workload characterization.

+ Experience with system software components, such as Linux, drivers, and runtime.

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.

In this role, you will be the contributor to improve processor instruction set architecture, to develop microarchitecture features, and to deliver Google’s advanced System on a chip (SoC) products. You will have the opportunity to collaborate in Google’s Android applications and Google’s Artificial Intelligence (AI) teams to conduct application and benchmark performance analysis and to project their performance at various design phases. You will work with engineers in power, thermal, security, and physical design teams to plan the central processing unit (CPU) subsystem configuration and features.

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.

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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .

+ Develop and modify a performance model for performance analysis and microarchitecture study, and evaluate ARM’s architecture features from architecture and performance angles.

+ Define and write central processing unit (CPU) subsystem architecture specifications.

+ Collaborate with Register-Transfer Level (RTL), design verification, and physical design teams to develop a performance and efficient CPU implementation.

+ Perform performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon and post-silicon performance bug triage.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.