Senior CPU Performance Architect

• Define and write CPU subsystem architecture specifications.
• Develop accurate models for performance analysis and microarchitecture study.
• Plan and evaluate ARM’s architecture features from both architecture and performance angles.
• Deliver solutions to complex CPU performance, microarchitecture design, tool infrastructure, and methodology problems that are ambiguous or lack clear precedent.
• Collaborate with RTL, Design Verification, and Physical Design teams to develop a high performance and efficient CPU implementation.

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with CPU microprocessor architecture or CPU micro-architecture.
• Experience in performance modeling, performance analysis, and workload characterization.
• Experience in software performance analysis and improvement, and High-Performance computer architectures (e.g., CPU, memory subsystem, multiprocessing).

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 microarchitecture exploration, performance model development, performance analysis, performance correlation, and workload characterization.
• Experience with one or more CPU microarchitectural blocks such as Caches or Branch Predictors.
• Knowledge of processor instruction set architecture (e.g., ARM, RISC-V, x86).
• Knowledge of 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.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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.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.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience with CPU microprocessor architecture or CPU micro-architecture.
• Experience in performance modeling, performance analysis, and workload characterization.
• Experience in software performance analysis and improvement, and High-Performance computer architectures (e.g., CPU, memory subsystem, multiprocessing).