Apple Neural Engine Performance and Power Engineer

Apple • Sunnyvale, CA

79d

About The Position

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!

Requirements

• 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 C++/Swift/Objective-C

Nice To Haves

• Experience with data visualization tools (e.g., Tableau)
• Strong written and verbal communication skills

Responsibilities

• 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

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees