Google
Senior CPU Performance Architect
Google, Mountain View, California, us, 94039
Google Senior CPU Performance Architect - Mountain View, California
Minimum Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. 5 years of experience with microprocessor architecture, microarchitecture, performance, and design. Experience with performance modeling, analysis, correlation, and workload characterization. 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, or a related field. Experience leading CPU/Machine Learning microarchitecture exploration, performance model development, performance analysis, performance correlation, and workload characterization. Knowledge of processor instruction set architecture (e.g., ARM, RISC-V, x86). Knowledge of system software components, such as Linux, drivers, and runtime. As a Senior CPU Performance Architect, you will be a key contributor to improve processor instruction set architecture, develop innovative microarchitecture features, and deliver Google’s advanced SoC products. You will have the opportunity to collaborate with talents in Google’s Android applications and Google’s world-renowned AI teams to plan and conduct application and benchmark performance analysis and project their performance at various design phases. Leveraging your CPU-specific knowledge and leadership, you will guide junior CPU architects and work with exceptional engineers in Power, Thermal, Security, and Physical Design teams to determine the CPU subsystem configuration and features. The US base salary range for this full-time position is $150,000-$223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed reflects the minimum and maximum target salaries for the position across all US locations. 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/). Responsibilities: Plan and evaluate ARM’s architecture features from both architecture and performance angles. Develop a performance model for performance analysis and microarchitecture study. Define and write CPU subsystem architecture specifications. Lead 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, 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.
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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 with microprocessor architecture, microarchitecture, performance, and design. Experience with performance modeling, analysis, correlation, and workload characterization. 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, or a related field. Experience leading CPU/Machine Learning microarchitecture exploration, performance model development, performance analysis, performance correlation, and workload characterization. Knowledge of processor instruction set architecture (e.g., ARM, RISC-V, x86). Knowledge of system software components, such as Linux, drivers, and runtime. As a Senior CPU Performance Architect, you will be a key contributor to improve processor instruction set architecture, develop innovative microarchitecture features, and deliver Google’s advanced SoC products. You will have the opportunity to collaborate with talents in Google’s Android applications and Google’s world-renowned AI teams to plan and conduct application and benchmark performance analysis and project their performance at various design phases. Leveraging your CPU-specific knowledge and leadership, you will guide junior CPU architects and work with exceptional engineers in Power, Thermal, Security, and Physical Design teams to determine the CPU subsystem configuration and features. The US base salary range for this full-time position is $150,000-$223,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed reflects the minimum and maximum target salaries for the position across all US locations. 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/). Responsibilities: Plan and evaluate ARM’s architecture features from both architecture and performance angles. Develop a performance model for performance analysis and microarchitecture study. Define and write CPU subsystem architecture specifications. Lead 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, 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.
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