Apple Neural Engine Performance and Power Engineer
$184.7k - $324.8kApple Inc.
Apple Neural Engine Performance and Power Engineer
Sunnyvale, California, United States Machine Learning and AI
At the core of Apple Intelligence revolution lies the groundbreaking Apple Neural Engine. This proprietary hardware accelerator is the key to unlocking real-time, energy-efficient, and high-performance execution of Generative AI models right on your device. As a Performance and Power Engineer in the Apple Neural Engine Software team, you will design and implement novel solutions to help optimize performance and energy efficiency for the AI workloads of tomorrow. This role is an opportunity to leave an enduring mark on the world of technology, having a direct positive impact on millions of Apple customers worldwide.
Description
In this highly visible and influential Performance and Power Engineer role within the Apple Neural Engine Software team, you will be expected to:- Analyze and optimize end-to-end system performance of artificial intelligence applications across a wide range of Apple product platforms- Identify and resolve performance bottlenecks across software and hardware architecture- Collaborate with cross-functional Apple teams including AI/ML, Software and Hardware to design and implement performant solutions- Conduct performance profiling, monitoring and diagnostics using and developing specialized tools- Engage with QA teams to craft performance and power tests on AI workloads
Minimum Qualifications
- BS and a minimum of 10 years experience with system performance analysis
- Excellent programming skills in C or Python
Preferred Qualifications
- MS or PhD in computer science, machine learning or related field
- Experience in performance or power architecture, modeling or validation
- Familiarity with AI networks for example CNN, transformer and diffusion model architectures and their performance characteristics
- Proficiency with profiling and optimizing complex software
- Experience with distributed computing or hardware acceleration
- Strong background in data science and statistical methods, with demonstrated ability to analyze large datasets and present complex insights clearly
- Experience with data visualization tools (e.g., Tableau) is desirable
- Experience with C++/Swift/Objective-C
- Strong written and verbal communication skills
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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