About the job

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.

In this role, you will be the key contributor to improve processor instruction set architecture, develop micro-architecture features, and to deliver Google’s SoC products. You will have the opportunity to collaborate with Google’s Android applications and AI teams to plan and conduct application and benchmark performance analysis.

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

• Plan and evaluate ARM’s architecture features from both architecture and performance aspects.

• Develop a performance model for performance analysis and micro-architecture study.

• Define and write CPU subsystem architecture specifications.

• Lead collaborate with RTL, design verification, and physical design teams to develop 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.

Minimum qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.

• 8 years of experience in microprocessor architecture, micro-architecture, performance, or advanced CPU design.

• Experience in 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.

• Experience in leading CPU/ML micro-architecture 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 (e.g., Linux, drivers, and runtime).

• Excellent communication skills.