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Apple SoC Power Analysis Optimization Engineer United States, Texas, Austin 760366634
21.04.2025
As part of our Silicon Engineering group, you will take imaginative and revolutionary ideas and determine how to turn them into reality! You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Join us, and you will help design products that bring to our customers experiences they’ve never before envisioned. In this highly visible role, you will be responsible for SOC power optimization automation, power modeling, and simulation.
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.
- BS 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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