SoC Power Analysis and Optimization Engineer

Who you are

You have a minimum of a bachelor's degree in a relevant field and at least 10 years of industry experience, showcasing your deep understanding of SOC power optimization. Your expertise includes familiarity with machine learning algorithms and programming, particularly in Python, which you have used to tackle complex engineering challenges. You are also knowledgeable about ASIC power, allowing you to contribute effectively to power modeling and simulation tasks. Your collaborative spirit enables you to work seamlessly with SOC power team members and cross-functional teams, driving innovative solutions.

Desirable

An MSEE is preferred, as it complements your extensive experience in the field. You have a keen interest in exploring new methodologies to analyze power data and create metrics that identify optimization opportunities. Your ability to drive automated approaches to improve SOC power efficiency across various IPs sets you apart as a leader in this domain.

What you'll do

In this role, you will be responsible for automating SOC power optimization tasks, working closely with team members to streamline processes and enhance efficiency. You will explore machine learning approaches to optimize SOC power, preparing training data and researching ML-based solutions for power simulation and modeling. Your contributions will involve reviewing results and improving methodologies to enhance efficiency and runtime, ensuring that the power optimization automation is deployed effectively across designs. You will also collaborate with cross-functional teams to implement these solutions, making a significant impact on the overall power efficiency of SOC designs.

What we offer

At Apple, you will be part of a dynamic team that values innovation and creativity. You will have the opportunity to work on cutting-edge technologies and contribute to products that redefine user experiences. We offer a collaborative work environment where your ideas can flourish, and your contributions are recognized. Join us in Beaverton, Oregon, and be part of a team that is committed to pushing the boundaries of technology and engineering excellence.