AI/ML Performance Analysis and Validation Engineer

Apple • Cupertino, CA

6d

About The Position

Our team is seeking extraordinary performance analysis engineers with validation experience who are passionate about providing robust modeling solutions for projecting the performance of machine learning applications on Apple Silicon platforms. This is an opportunity to shape the architecture of future AI/ML applications at Apple and influence the design of the next generation of hardware platforms.

Requirements

• Technical BS/MS/PhD or equivalent degree in Computer Science or related field.
• 3+ years of proven industry or research experience in building performance models and performing validation of AI/ML applications running on dedicated accelerators.
• Deep understanding of Computer Architecture including processing units, interconnects and memory systems.
• Strong ability to build models of applications and platforms, characterize their performance and reason about them.
• Strong understanding of performance trade-offs in distributed computing systems.
• Excellent proficiency in Python and strong software engineering skills.
• Good understanding of machine learning fundamentals and familiarity with ML frameworks (PyTorch, JAX, CoreML).
• Strong data reasoning skills.
• Excellent communication and collaboration skills.

Nice To Haves

• Hands on experience with implementing AI/ML applications with state-of-the-art architectures such as CNN, transformer and diffusion models and analyzing their performance characteristics.
• Experience in modeling data center architectures.
• Experience in building simulation technologies.
• Experience collaborating in large cross functional projects.

Responsibilities

• Capturing and analyzing advanced graphics, media, and AI/ML use cases and execute them on models of future silicon.
• Providing robust modeling solutions for projecting the performance of machine learning applications on Apple Silicon platforms.
• Shaping the architecture of future AI/ML applications at Apple.
• Influencing the design of the next generation of hardware platforms.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree