Staff CPU Architecture and Performance Architect
Description
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: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
- Plan and evaluate CPU architecture features from both architecture and performance angles.
- Develop a performance model for performance analysis and microarchitecture design study.
- Drive performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon performance correlation, and post-silicon performance analysis and debugging.
- Collaborate with other teams, such as RTL design, design verification, and physical design, to develop a high performance and efficient CPU implementation.
- Architect chips or chip-subsystems by analyzing data, writing specifications, coordinating, and negotiating with stakeholders, and creating solutions.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- 10 years of experience with CPU architecture and performance modeling.
- Experience in performance modeling, performance analysis, and workload characterization.
- Experience with computer architecture, microarchitecture, and digital design concepts.
- Experience in product management, defining, and developing X86 or ARM processors.
Preferred qualifications:
- PhD degree in Electrical Engineering, Computer Engineering, or Computer Science, emphasizing on computer architecture or machine learning.
- 12 years of experience with microprocessor architecture, microarchitecture, performance, and design.
- Experience leading CPU and SoC performance model development, performance analysis, performance correlation, and workload characterization.
- Experience with processor instruction set architecture (e.g., ARM, RISC-V, x86).
- Experience with system software components, such as Linux, drivers, and runtime.
- Experience in chip design.


