Distinguished Engineer, AI Infrastructure

Role Number: 200635627-0836 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 otheru2019s 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. Itu2019s 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, youu2019ll do more than join something u2014 youu2019ll add somethingAs part of the Machine Learning Platform Technologies - ML Compute organization, youu2019ll connect the worldu2019s best researchers with the worldu2019s best AI infrastructure to take on the most challenging problems in machine learning and build the rock-solid foundation for some of Appleu2019s most innovative products. And this is Apple, so your team will innovate across the entire stack: hardware, software, algorithms u2014 itu2019s 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. Minimum Qualifications + Bacheloru2019s 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 Preferred Qualifications + Masteru2019s 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 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 (.

Created: 2026-01-26