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Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...
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Apple • Beaverton, Oregon, United States
Apple is hiring a SoC Power Analysis and Optimization Engineer to drive automation for SOC power optimization and collaborate with cross-functional teams. You'll work with Python and machine learning methodologies to enhance SOC power efficiency in Beaverton, Oregon.
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 real-world 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 modeling and simulation projects.
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 collaborative spirit allows you to work seamlessly with SOC power team members and cross-functional teams, driving initiatives that improve SOC power efficiency across various IPs.
In this role, you will take on the responsibility of driving automation for SOC power optimization. You will work closely with SOC power team members to automate power analysis and optimization tasks, ensuring that processes are efficient and effective. Your innovative mindset will lead you to explore new methodologies for analyzing power data, creating power metrics that help identify optimization opportunities. You will also drive automated approaches to improve SOC power efficiency across different IPs, making a significant impact on product performance.
Additionally, you will delve into machine learning approaches to optimize SOC power. This involves collaborating with team members on training data preparation and researching ML-based solutions for power simulation, optimization, and modeling. Your contributions will be crucial in deploying power optimization automation that enhances SOC power, as you review results and continuously improve methodologies regarding efficiency and runtime.
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 shapes the future of silicon engineering. The collaborative environment encourages you to share your ideas and contribute to projects that have a real-world impact. We offer competitive compensation and benefits, along with a culture that promotes inclusion and diversity. Join us in Beaverton, Oregon, and help us design products that bring revolutionary experiences to our customers.
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