Staff/Sr. Core Infrastructure Engineer, AI, Search & Knowledge Platforms

Summary

This role involves building and maintaining large-scale, high-performance infrastructure to support Apple's information intelligence, search, and AI initiatives. The engineer will design distributed systems capable of processing petabytes of data to power features for billions of users.

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.

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.
  • 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

See also

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