Senior CPU Performance Architect

Google; Austin (TX); Hybrid; USD 163,000 - 237,000; Full time

Job summary

Google is seeking a senior CPU architecture professional to help shape the next generation of ARM-based CPU designs. You will plan architecture features, build performance models, and work closely with design and verification teams to deliver efficient CPU implementations.

Your work will involve defining subsystem specifications and driving performance correlations between models and RTL pre- and post-silicon, contributing to high-performance silicon for Googe products.

Qualifications

• Bachelor’s degree in Electrical/Computer Engineering, CS, or related field.
• 8 years of experience with micro-processor architecture, micro-architecture, performance, and design.
• Experience with performance modeling, correlation, workload characterization, and CPU architecture.

Responsibilities

• Plan and evaluate ARM architecture features from architecture and performance perspectives.
• Develop a performance model for analysis and microarchitecture studies.
• Lead collaboration with design and verification teams to develop efficient CPU implementation.
• Define and write CPU subsystem architecture specifications.
• Drive performance correlation between the model and RTL implementation, including micro-benchmark development and pre-/post-silicon performance triage.

Skills

Bachelor's degree in engineering/scien

8 years of micro-processor experience

CPU performance modeling & workload

Education

Master's or PhD in EE/CS (preferred)

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Portland, OR, USA; Mountain View, CA, USA; Poughkeepsie, NY, USA.

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with micro-processor architecture, micro-architecture, performance, and design.
• Experience with performance modeling, analysis, correlation, and workload characterization and experience with CPU architecture (e.g., CPU block).

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 in CPU micro-architecture exploration and development.
• Knowledge of processor instruction set architecture (e.g., ARM, RISC-V, x86).
• Knowledge of system software components, such as Linux, drivers, and runtime.

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. Google’s mission is to organize the world’s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user’s interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people’s lives better through technology.

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

US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits

Responsibilities

• Plan and evaluate ARM’s architecture features from both architecture and performance aspects.
• Develop a performance model for performance analysis and microarchitecture studies.
• Lead collaboration with design and verification teams to develop efficient CPU implementation.
• Define and write CPU subsystem architecture specifications.
• Drive 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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.