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 others 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. Its 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 youll do more than join something youll add something!nnAs part of the Machine Learning Platform Technologies - ML Compute organization youll connect the worlds best researchers with the worlds best AI infrastructure to take on the most challenging problems in machine learning and build the rock-solid foundation for some of Apples most innovative products. And this is Apple so your team will innovate across the entire stack: hardware software algorithms its all here.

We are seeking a Distinguished Engineer to provide technical leadership in building and evolving next-generation AI 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.

Set the technical vision and define the roadmap for frontier AI infrastructure spanning a multi-cloud heterogeneous compute fleetnDesign and build distributed systems for job scheduling cluster management and cost governancenPartner closely with ML researchers and engineers to scale and optimize end-to-end performance of AI training and inference workloadsnEstablish connections with cross-functional partners collaborating with teams across cloud infrastructure business operations finance and engineering

Bachelors degree in Computer Science relevant technical field or equivalent practical experiencen15 years of experience designing and building very large-scale distributed systemsnProficiency in at least 1 backend language (e.g. Python C Go Rust)nProficiency in cloud-native architectures and compute orchestration platforms (e.g. Kubernetes)nHands-on experience working with ML accelerators such as GPUs and TPUsnTrack record of mentoring senior engineers and setting long-term architectural vision across orgs

Masters degree or PhD in Computer Science or related technical fieldsnExperience in running distributed training and/or inference workloads in productionnExpertise in ML systems performance profiling debugging and optimizationnExpertise in deep learning frameworks (e.g. PyTorch JAX) and their underlying architectures