The CPU Power Modeling Engineer role at Google focuses on developing custom silicon solutions that enhance the performance and efficiency of Google's products. The team is dedicated to innovating hardware experiences that are integral to Google's mission of organizing the world's information. This position involves collaborating with various teams to optimize CPU architecture and energy modeling. The engineer will leverage their expertise in low-power systems and data analytics to drive advancements in power estimation and optimization.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
• 4 years of experience in the industry or equivalent research.
• Experience with low-power systems, data analytics, and profiling.
• Experience in flow automation using Python, C, C++, or Gemini.
• Experience with data science.

• Recruit a talented individual contributor engineer to drive activities related to CPU architecture and energy modeling.
• Develop a system level power model for battery life analysis and energy optimization.
• Collaborate with the SoC and CPU Power Teams on power projections and requirements for the CPU.
• Perform workload analysis for battery life and define tests for power analysis and optimization.
• Conduct data mining analysis at the RTL and gate-level for high-level power estimation.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.