Senior Infrastructure Engineer - Special Projects

Apple

Apple

Other Engineering

Cupertino, CA, USA

USD 181,100-318,400 / year + Equity

Posted on May 1, 2026
Apple is where individual imaginations gather together to do 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. We’d love to work with you.
The Special Projects team nurtures state-of-the-art intelligence ideas into powerful, usable features and systems. We work with the latest AI research and our talented research teams to build innovative applications of those ideas on Apple platforms. A key part of the team success incoludes building high quality infrastructure and tooling for ML inference and evaluation.. These systems and infrastructure use both internal and external technologies to help the team move quickly.
  • Research, discuss, and debate the latest in intelligence capabilities across the industry, and the ways those capabilities could form the foundation of future Apple features and products. Including which ones are not a good fit.
  • Implement or modify existing backend infrastructure using containers and cloud-native technologies.
  • Partner closely with other teams to design, build, and own evaluation systems.
  • Implement Python and Apple-native tooling and systems to support the team.
  • Create robust, scalable architectures for systems that handle data orchestration for AI features
  • Build tools that help make complex AI systems observable, understandable and debuggable
  • Proficiency in at least one modern language like Go, TypeScript, Swift, or equivalent.
  • Familiarity with Python
  • Experience with VM & Container technologies (Docker, Kubernetes, etc.)(
  • Experience building web services, and full stack web applications
  • Experience with Continuous Integration / Continuous Delivery systems
  • Collaboration skills and experience working both with small teams and across multiple teams
  • Experience bringing AI systems from research to production
  • Experience building large-scale ML evaluation systems with any technical stack
  • Experience with Swift and writing Swift applications on client and server
  • Experience writing code to network and connect and synchronize multiple devices under test