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Apple

Apple Neural Engine Performance and Power Engineer

Sunnyvale, CA$184,700 – $324,800Posted Oct 5, 2026

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

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

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

Minimum Qualifications

BS and a minimum of 10 years experience with system performance analysis

Excellent programming skills in C or Python

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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