AI/ML Performance Analysis and Validation Engineer
Overview
Application Skills
Application Category Skills
Summary
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
The Silicon Modeling and Development Team in the Graphics and Compute Technologies organization is responsible for capturing and analyzing advanced graphics, media, and AI/ML use cases and execute them on models of future silicon. We are looking for exceptionally dedicated individuals who possess strong interest in the modeling, simulation and analysis of mobile, desktop and data center devices.
Description
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.
Minimum Qualifications
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.
Prefered Qualifications
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.