CPU Architecture and Performance Architect

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Minimum qualifications:

• Master’s degree in Electrical Engineering, Computer Engineering or Computer Science, emphasizing on computer architecture, or equivalent practical experience.
• 3 years of experience in high-performance microprocessor architecture, microarchitecture, performance, or advanced CPU design.
• Experience in high-performance CPU architecture, performance modeling, analysis, correlation, and workload characterization.
• Experience with C/C++ and scripting languages (e.g., Python).
  
  

Preferred qualifications:

• PhD in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing on computer architecture or machine learning.
• Experience in CPU/ML microarchitecture exploration, performance model development, performance analysis, performance correlation, or workload characterization.
• Knowledgeable in microprocessor instruction set architecture (e.g., ARM, RISC-V, x86).
• Familiar with system software components, such as Linux, drivers, and runtime.
• Ability to communicate in English fluently.
  
  

About The Job

As a CPU architecture and performance architect, you’ll be the key contributor to improve processor instruction set architecture, to develop innovative microarchitecture features, and to deliver Google’s advanced SoC products. You will collaborate cross-functionally with Android Applications and AI teams to conduct application and benchmark performance analysis and to project their performance at various design phases. You’ll be guided by more senior architects and working with engineers in power, thermal, security, and physical design teams to determine the 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.

Responsibilities

• Develop and modify a performance model for performance analysis and microarchitecture study. Evaluate ARM’s architecture features from both architecture and performance angles.
• Define and write CPU subsystem architecture specifications.
• Collaborate with RTL, design verification, and physical design teams to develop a high performance and efficient CPU implementation.
• Manage 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 .