CPU Power System Modeling Engineer, Silicon

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  
• 5 years of experience in the hardware industry or equivalent research.
• Experience with low-power fundamentals (e.g., dynamic and leakage, power estimation, and optimization), data analytics and profiling.
• Experience in flow automation (e.g., Python, C, C++, Gemini).

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  
• Knowledge of CPU microarchitecture and system level design.
• Familiarity with the concept of power management, retention, Dynamic and Voltage and Frequency Scaling (DVFS).
• Familiarity with CPU benchmarking, performance analysis and engaged study.

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.

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.

• Own and drive several activities related to CPU architecture and system level energy modeling, engaged performance and power analysis, power optimization, simulation and roll-ups.
  
• Develop a system level power model for battery life analysis and energy optimization.
• Collaborate with the SoC and CPU Power Teams on various power projections and requirements for our CPU, including silicon power capture and profiling of competitor CPUs for benchmarks and other daily workloads.
• Perform workload analysis for battery life and tests definition for power analysis and optimization.
• Perform data mining analysis at the RTL and gate-level to define relevant micro-architectural transactions for high-level power estimation.