Other Technical Roles • Senior

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, which you have applied in practical scenarios to enhance power efficiency. You are also well-versed in scripting with Python, enabling you to automate complex tasks effectively. Your background in ASIC power further strengthens your capability to contribute to innovative power analysis methodologies.

Desirable

An MSEE is preferred, as it complements your extensive experience in the field. You are eager to explore new methodologies and are open to leveraging machine learning approaches to optimize SOC power. Your collaborative spirit allows you to work seamlessly with team members and cross-functional groups, driving projects to successful completion.

What you'll do

In this role, you will be responsible for automating SOC power optimization tasks, working closely with the SOC power team to streamline processes. You will explore new methodologies to analyze power data and create metrics that identify optimization opportunities. Your role will involve driving automated approaches to improve SOC power efficiency across various IPs, ensuring that innovative ideas are transformed into practical solutions.

You will also delve into machine learning approaches, preparing training data and researching ML-based solutions for power simulation, optimization, and modeling. Collaborating with cross-functional teams, you will deploy power optimization automation to enhance SOC power, reviewing results and continuously improving methodologies for efficiency and runtime.

What we offer

At Apple, you will be part of a dynamic team that values creativity and innovation. You will have the opportunity to work on cutting-edge technology that impacts the future of silicon engineering. We foster an inclusive environment where diverse perspectives are encouraged, and we support your professional growth through continuous learning opportunities. Join us in Beaverton, Oregon, and help shape the future of technology with your expertise in SOC power analysis and optimization.