GPU Architect, Platform Architecture

Apple's Platform Architecture GPU group is seeking a talented GPU Architect with strong skills in performance analysis and development across applications and operating system components. The role involves analyzing the performance of linear algebra and machine learning algorithms on Apple GPU platforms, formulating system-level strategies to address performance problems and enhance AI performance, and building prototype software implementations for simulated future hardware. The ideal candidate will work closely with Software Engineering and Hardware Technologies teams to communicate findings and contribute to production software for Apple products.

Key responsibilities include:

• Analyzing performance of linear algebra and ML algorithms on Apple GPU platforms
• Developing system-level strategies to improve AI performance
• Building prototype software for simulated future hardware
• Collaborating with software and hardware teams

Required qualifications:

• BS degree
• Experience with software and hardware performance analysis and optimization
• Experience in GPU programming models (Metal, CUDA, or similar)

Preferred qualifications:

• MS or PhD in Computer Science, Electrical Engineering, or equivalent
• 15 years of relevant industry experience
• Experience with GPU drivers, compilers, and accelerated libraries
• Experience with CUDA C++ for ML and linear algebra algorithms
• Knowledge of distributed algorithms for HPC
• Strong communication skills across hardware and software organizations

Apple is an equal opportunity employer committed to inclusion and diversity, taking affirmative action to ensure equal opportunity for all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.