CPU Power & Energy Modeling Engineer

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

Job summary

Google is hiring a CPU/SoC power and performance engineer to advance custom silicon for our direct-to-consumer products. You will lead architecture and system-level energy modeling, optimize power, and collaborate across CPU/SoC teams to meet rigorous performance and efficiency targets.

You will analyze workloads, contribute to battery life projections, and develop high-level power estimation techniques for tomorrow's hardware.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field, or equivalent practical experience.
• 4 years of industry experience in hardware or equivalent research.
• Experience with low-power systems, 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 CPU architecture and system level energy modeling, performance and power analysis, power optimization, simulation and rollups.
• Develop a system level power model for battery life analysis and energy optimization.
• Collaborate with SoC and CPU Power Teams on power projections and requirements for our CPU, including silicon power capture and profiling for benchmarks and 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

Low-power systems

Data analytics

Flow automation

Python

C

C++

Gemini

Data science

Education

Bachelor's degree in EE/CS

Master's or PhD in EE/CS

Tools

PTPX

Ansys Power Artist

Synopsys Prime Power RTL

Job description

Google is hiring a CPU/SoC power and performance engineer to advance custom silicon for our direct-to-consumer products. You will lead architecture and system-level energy modeling, optimize power, and collaborate across CPU/SoC teams to meet rigorous performance and efficiency targets.

You will analyze workloads, contribute to battery life projections, and develop high-level power estimation techniques for tomorrow's hardware.