CPU Power Modeling Engineer

Austin, TXOnsiteFull Time$138,000–$197,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

CPU architecture
system level energy modeling
performance analysis
power optimization
simulation
rollups
battery life analysis
energy optimization
SoC
silicon power capture

Nice to have

computer architecture
RTL design
low-power design techniques
PTPX
Ansys Power Artist
Synopsys Prime Power RTL

Role summary

Google is seeking a CPU Power Modeling Engineer to develop custom silicon solutions for direct-to-consumer products. This role involves driving activities related to CPU architecture and system-level energy modeling, performance and power analysis, optimization, and simulation. The engineer will develop system-level power models for battery life analysis and energy optimization, collaborate with SoC and CPU Power Teams on power projections, and perform silicon power capture and profiling. Responsibilities also include workload analysis for battery life and defining tests for power analysis and optimization, as well as data mining at RTL and gate-level for power estimation.

Minimum qualifications:

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, 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.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
Experience in RTL design and low-power design techniques.
Expertise in vendor tools such as PTPX, Ansys Power Artist, Synopsys Prime Power RTL.
Familiarity with the concept of power management, DVFS.
Familiarity with CPU benchmarking, performance analysis and study.
Demonstrated knowledge of CPU microarchitecture and system level.

About the job:

Be part of a 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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.

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