Distinguished Engineer, AI Infrastructure

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 each of us believes we can create 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!

As part of the Machine Learning Platform Technologies - ML Compute organization, you'll connect the world's best researchers with the world's best AI infrastructure to take on the most challenging problems in machine learning and build the rock-solid foundation for some of Apple's most innovative products. And this is Apple, so your team will innovate across the entire stack: hardware, software, algorithms - it's all here.

Description

We are seeking a Distinguished Engineer to provide technical leadership in building and evolving next-generation AI infrastructure at Apple. In this role, you will shape the architecture and long-term technical strategy for large-scale training and inference systems, working at the intersection of AI research, systems, and cloud infrastructure. Your work will directly influence how frontier and production models are trained, deployed, and scaled across diverse accelerator platforms.","responsibilities":"Set the technical vision and define the roadmap for frontier AI infrastructure spanning a multi-cloud heterogeneous compute fleet

Design and build distributed systems for job scheduling, cluster management, and cost governance

Partner closely with ML researchers and engineers to scale and optimize end-to-end performance of AI training and inference workloads

Establish connections with cross-functional partners, collaborating with teams across cloud infrastructure, business operations, finance, and engineering

Preferred Qualifications

Master's degree or PhD in Computer Science or related technical fields

Experience in running distributed training and/or inference workloads in production

Expertise in ML systems performance profiling, debugging, and optimization

Expertise in deep learning frameworks (e.g., PyTorch, JAX) and their underlying architectures

Minimum Qualifications

Bachelor's degree in Computer Science, relevant technical field, or equivalent practical experience

15 years of experience designing and building very large-scale distributed systems

Proficiency in at least 1 backend language (e.g., Python, C++, Go, Rust)

Proficiency in cloud-native architectures and compute orchestration platforms (e.g., Kubernetes)

Hands-on experience working with ML accelerators such as GPUs and TPUs

Track record of mentoring senior engineers and setting long-term architectural vision across orgs

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .