CPU Power & Energy Modeling Engineer

Google Inc.; Austin (TX); On-site; USD 138,000 - 197,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google Austin is seeking a Mid-level CPU Power Modeling Engineer to drive system level energy modeling, performance analysis, and power optimization across CPU workloads. Be part of a team delivering custom silicon solutions powering Google products.

You will partner with hardware, software, and AI teams to model power, analyze workload implications, and calibrate DVFS and power management strategies for efficiency and performance.

Qualifications

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

Responsibilities

• Recruit a talented individual contributor engineer to own CPU architecture and system level energy modeling, performance and power analysis, and power optimization.
• Develop a system level power model for battery life analysis and energy optimization.
• Collaborate with SoC and CPU Power Teams on power projections and benchmarking.
• Perform workload analysis for battery life and tests for power analysis and optimization.
• Conduct RTL and gate-level data mining to define micro-architectural transactions for high-level power estimation.

Skills

Low-power systems

Power estimation

Python

C

C++

Gemini

Data analytics

CPU microarchitecture knowledge

Education

Bachelor's degree in Electrical Engineering, Computer Engineering or Computer Science

Master's degree or PhD in Electrical/Computer Engineering or Computer Science (computer architecture emphasis)

Tools

PTPX

Ansys Power Artist

Synopsys Prime Power RTL

Job description

Google Austin is seeking a Mid-level CPU Power Modeling Engineer to drive system level energy modeling, performance analysis, and power optimization across CPU workloads. Be part of a team delivering custom silicon solutions powering Google products.

You will partner with hardware, software, and AI teams to model power, analyze workload implications, and calibrate DVFS and power management strategies for efficiency and performance.