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Description
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.
Minimum Qualifications
A minimum of a bachelor's degree in relevant field and a minimum of 10 years of relevant industry experience.
Preferred Qualifications
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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