CPU Architecture and Performance, Silicon

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 3 years of high-performance microprocessor architecture, microarchitecture, performance, and design experience.
• Experience in performance modeling, analysis, correlation, and workload characterization.
• Experience in C/C++ and scripting languages, e.g. Python.
• Experience in high-performance CPU architecture with experience in one or more areas, such as ISA, ML, branch prediction, etc.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  
• Experience with processor instruction set architecture (e.g., ARM, RISC-V, x86).
• Experience with system software components, such as Linux, drivers, and runtime.

Be part of a diverse 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.

As a CPU Architecture and Performance Architect, you'll be among the contributors to improve processor instruction set architecture, to develop innovative microarchitecture features, and to help deliver Google’s advanced CPU products.

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.

The US base salary range for this full-time position is $127,000-$187,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting 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.

• Conduct performance correlation between the performance model and RTL implementation, including micro-benchmark development and pre-silicon and post-silicon performance bug triage.
• Evaluate ARM’s architecture features from both architecture and performance angles.
• Develop a performance model for performance analysis and microarchitecture study.
• Work with senior CPU architects to determine CPU subsystem architecture specifications.