RTL Power Analysis

The CPU Power Team wants a talented individual contributor engineer to own and drive several activities related to CPU architecture and system level energy modeling, competitive performance and power analysis, power optimization, simulation and rollups.

Develop novel power analysis techniques, optimization engines and other tooling solutions to improve the battery life analysis and maximize the energy efficiency of our CPU

The qualified engineer will collaborate with the SoC and CPU Power Team on power analysis and projections and requirements for our CPU. This charter includes profiling the power of typical workloads such as YouTube, Facebook, etc

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.

MINIMUM QUALIFICATIONS

BS in Electrical Engineering, Computer Science, or equivalent practical experience

3 years of experience in industry (e.g. Hardware, etc.) or equivalent research

Experience with low-power fundamentals (e.g., dynamic and leakage, power estimation, and optimization), data analytics and profiling

Experience in flow automation (Python, C, C++, Gemini)

Expertise in vendor tools such as PTPX, Ansys Power Artist, Synopsys Prime Power RTL

PREFERRED QUALIFICATIONS

3-5 years of experience in RTL design and low-power design techniques

Familiar with the concept of power management, retention, DVFS

Experience with data science

Familiar with CPU benchmarking, performance analysis and competitive study

Demonstrated knowledge of CPU microarchitecture and system level

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