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Apple Inc. in Sunnyvale invites applications for a Performance and Power Engineer to optimize end-to-end AI workloads on the Apple Neural Engine across devices.
You will analyze bottlenecks, collaborate with AI/ML, software and hardware teams, and develop profiling tools to drive real-time, energy-efficient performance.
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.
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
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
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Apple accepts applications to this posting on an ongoing basis.