At the core of Apple's Intelligence revolution lies the groundbreaking Apple Neural Engine, a proprietary hardware accelerator enabling real-time, energy-efficient execution of Generative AI models directly on devices. As a Performance and Power Engineer in the Apple Neural Engine Software team, you'll be at the forefront of optimizing AI workload performance and energy efficiency.
The role involves analyzing and optimizing end-to-end system performance of artificial intelligence applications across Apple's diverse product platforms. You'll work on identifying and resolving performance bottlenecks across both software and hardware architecture, collaborating closely with cross-functional teams including AI/ML, Software, and Hardware to design and implement high-performance solutions.
Your responsibilities will include conducting detailed performance profiling, monitoring, and diagnostics using specialized tools, as well as engaging with QA teams to develop comprehensive performance and power tests for AI workloads. This position offers a unique opportunity to make a lasting impact on technology, directly affecting millions of Apple customers worldwide.
The ideal candidate should have at least 3 years of experience in system performance analysis and excellent programming skills in C or Python. Additional preferred qualifications include an advanced degree in computer science or machine learning, experience with AI network architectures, and proficiency in performance optimization.
Apple offers a competitive compensation package with a base salary range of $147,400 to $272,100, plus additional benefits including comprehensive medical coverage, stock options, retirement benefits, and education reimbursement. The position is based in Sunnyvale, California, within Apple's Machine Learning and AI team.
This role represents a chance to work on cutting-edge technology at one of the world's most innovative companies, helping to shape the future of on-device AI processing while maintaining Apple's high standards for performance and energy efficiency.