The main responsibility of this role is to drive the automation for SOC power optimization.- Working with SOC power team members to automate the power analysis and optimization tasks- Explore new methodology to analyze the power data create power metrics to identify the optimization opportunities drive automated approach to improve SOC power efficiency across IPs- Explore machine learning approaches to optimize SOC power work with team members on training data preparation research ML based solution for power simulation optimization and modeling. - Collaborate cross-functional teams to deploy the power optimization automation to improve SOC power review results improve the methodology on efficiency runtime and support boarder scope of designs.
A minimum of a bachelors degree in relevant field and a minimum of 3 years of relevant industry experience.
MSEE preferred
Familiarity with machine learning algorithms and programming
Familiarity with scripting in Python.
Familiarity with ASIC power analysis and optimization
Familiarity with SOC design flow and methodology
Familiarity with Verilog and System Verilog.
Familiarity computer architecture logic and circuits design
Familiarity signal processing is a plus
Silicon power measurement experience is a plus
SOC power modeling low power design and power optimization experience is a plus
Strong communication skills are a pre-requisite as the candidate will interface with a lot of different groups
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