CPU Power Modeling Engineer — Energy & SoC Optimization

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

Job summary

Google is seeking a hardware-focused engineer in Austin to join a team delivering custom silicon solutions powering our direct-to-consumer products. You will contribute to CPU architecture, system-level energy modeling, and power optimization for battery life and performance.

Expect collaboration across SoC and CPU Power teams, with opportunities to influence silicon power capture and microarchitectural transactions.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience.
• 4 years of experience in industry (e.g., Hardware) or equivalent research.
• Experience with low-power systems (e.g., dynamic and leakage, power estimation), data analytics and profiling.
• Experience in flow automation (Python, C, C++, Gemini).
• Experience with data science.

Responsibilities

• Recruit a talented individual contributor engineer to own and drive several activities related to CPU architecture and system level energy modeling, engaged performance and power analysis, power optimization, simulation and rollups.
• 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. This includes silicon power capture and profiling of 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.

Skills

Python

C

C++

Gemini

Low-power systems

Data analytics

Education

Bachelor's degree

Equivalent practical experience

Tools

PTPX

Ansys Power Artist

Synopsys Prime Power RTL

Job description

Google is seeking a hardware-focused engineer in Austin to join a team delivering custom silicon solutions powering our direct-to-consumer products. You will contribute to CPU architecture, system-level energy modeling, and power optimization for battery life and performance.

Expect collaboration across SoC and CPU Power teams, with opportunities to influence silicon power capture and microarchitectural transactions.