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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
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