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The personal technology company redefining user experience
Key Highlights
- Market cap of $3 trillion as of 2022
- Over 1 billion active devices worldwide
- Comprehensive medical plans including mental healthcare
- Paid parental leave and gradual return-to-work program
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...
🎁 Benefits
Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...
🌟 Culture
Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...
Skills & Technologies
Overview
Apple is hiring a SoC Power Analysis and Optimization Engineer to drive automation for SOC power optimization. You'll work with Python and machine learning to enhance power efficiency in SOC designs. This position requires a minimum of 3 years of relevant industry experience.
Job Description
Who you are
You have a Bachelor's degree in a relevant field and at least 3 years of experience in the industry, particularly in SOC power analysis and optimization. Your familiarity with machine learning algorithms and programming allows you to explore innovative solutions for power efficiency. You are comfortable scripting in Python and have a solid understanding of ASIC power analysis and SOC design principles.
You thrive in collaborative environments, working closely with cross-functional teams to deploy power optimization automation. Your analytical mindset helps you identify optimization opportunities through data analysis and the creation of power metrics. You are eager to explore new methodologies and drive improvements in efficiency and runtime.
What you'll do
In this role, you will be responsible for automating SOC power optimization tasks, collaborating with team members to enhance power analysis methodologies. 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 directly impact the efficiency of SOC designs across various IPs, ensuring that innovative ideas are transformed into reality.
You will review results and continuously improve methodologies to support a broader scope of designs. Your work will involve analyzing power data and driving automated approaches to enhance SOC power efficiency. You will play a key role in shaping the future of Apple's silicon engineering efforts, contributing to products that deliver unprecedented experiences to customers.
What we offer
Apple is committed to fostering an inclusive and diverse workplace. You will be part of a team that values creativity and innovation, working on cutting-edge technology that shapes the future of computing. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. Join us in Austin, Texas, and be part of a culture that promotes collaboration and growth.
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