Staff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms
Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Aug 31, 2026. Apple scores A on the Alion truth index.
Do you want to make Apple products smarter for our users? The Core Infra team is looking for an experienced software engineer to work on core infrastructure for information intelligence at Apple. We build systems to connect Apple users to information as part of the wider Apple Intelligence initiative. You will work closely with product teams and information intelligence teams to deliver reliable, scalable, and efficient infrastructure that powers Apple products for billions of users.
Description
We design and build infrastructures to support features that empowers billions of Siri users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others. You'll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity.
Minimum Qualifications
10+ years of experience of software development in developing and operating large-scale cloud infrastructure.
End to end ownership of the Kubernetes cluster lifecycle (control plane, container orchestration, networking, storage)
Proven experience designing, building, and operating large-scale distributed systems and backend services (e.g., using cloud platforms like AWS/GCP and container orchestration like Kubernetes)
Solid understanding of networking protocols (e.g., TCP/IP, DNS, HTTP) and their application in building large-scale systems
Excellent communication and collaboration skills to work effectively with cross-functional teams
Strong software engineering fundamentals in data structures, algorithms, and system design
BS, MS, or Ph.D. in Computer Science or a related field, or equivalent experience
Preferred Qualifications
Experience with large-scale data processing, information retrieval, web search, or ranking systems