Senior CPU Architecture and Performance Architect

Google; Mountain View (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google in Mountain View, CA seeks a Senior CPU Architect to drive microarchitecture and performance modeling for next‑gen processors. You will collaborate with RTL, design verification, and software teams to deliver a high‑performance CPU implementation that meets strict power and area targets.

Requires a strong track record in CPU architecture, multi-year experience in microarchitecture, and expertise with ARM/RISC-V/x86 ISA, Linux driver/runtime components.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science or equivalent.
• 10 years of experience in microprocessor architecture, microarchitecture, performance and design.
• Experience with CPU architecture blocks, performance modeling, correlation, and workload characterization.
• Experience with ISA (ARM, RISC-V, x86) and system software components (Linux, drivers, runtime).

Responsibilities

• Deliver CPU solutions to complex problems including performance, microarchitecture, tooling, and methodology.
• Plan and drive ARM architecture features from architecture and performance angles.
• Define and write CPU subsystem architecture specifications.
• Lead collaboration with RTL, design verification, and physical design for high-performance CPU implementation.
• Drive performance correlation between model and RTL and triage pre-/post-silicon performance issues.

Skills

CPU architecture

Performance modeling

Linux/OS tooling

Education

Bachelor's degree in EE/CS or equivalent

Master's or PhD in relevant field preferred

Job description

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

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

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 10 years of experience in microprocessor architecture, microarchitecture, performance and design.
• Experience with CPU architecture with CPU blocks, along with performance modeling, analysis, correlation, and workload characterization.
• Experience with processor instruction set architecture (e.g., ARM, RISC-V, x86) and system software components, such as Linux, drivers, and runtime.

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience in performance modeling, debugging, and demonstrating the benefits of new ideas.
• Knowledge of processor instruction set architecture (e.g., ARM, RISC-V, x86).
• Ability to generate innovative microarchitectural ideas to improve performance in actual silicon.
• Strong critical thinking, communication, and advocacy skills.

About the job

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: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Deliver solutions to complex problems that may be ambiguous and/or lacking clear precedent. These problems include CPU performance, microarchitecture design, tool infrastructure, methodology, and so on.
• Plan, drive, and evaluate 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 a high performance and efficient CPU implementation.
• Drive performance correlation between the performance model and RTL implementation and perform 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 .