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

Apple; Seattle (WA); On-site; USD 180,000 - 230,000; Full time

Job summary

Apple seeks an experienced software engineer to join the Core Infra team and build information intelligence infrastructure used by billions of Apple products. You will design, implement, and operate large-scale backend systems, collaborate with product, search, and ML teams, and ensure reliability and performance in a multi-cloud environment.

You will work on data-rich pipelines, surface high-quality content, and help optimize indexing, retrieval, and ranking for Apple’s information ecosystem at

Qualifications

• 10+ years of software development for large-scale cloud infrastructure.
• Experience designing, building, and operating large-scale distributed systems and backend services.
• Strong fundamentals in data structures, algorithms, and system design.
• Excellent communication and collaboration skills for cross-functional teams.

Responsibilities

• Design, develop, and operate the large-scale backend infrastructure that powers Apple's information intelligence and search features
• Optimize massive-scale data pipelines to process large volumes of data
• Collaborate closely with product, search, and machine learning teams to define infrastructure requirements and deliver robust solutions
• Ensure the health and performance of critical infrastructures by monitoring key metrics, troubleshooting complex issues, and participating in an on-call rotation

Skills

Large-scale backend development

Distributed systems design

Networking fundamentals

Education

BS/MS/PhD in Computer Science or related field

Tools

AWS

GCP

Kubernetes

Job description

Summary

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.

Key Responsibilities

• Design, develop, and operate the large-scale backend infrastructure that powers Apple's information intelligence and search features
• Optimize massive-scale data pipelines to process large volumes of data
• Collaborate closely with product, search, and machine learning teams to define infrastructure requirements and deliver robust solutions
• Ensure the health and performance of critical infrastructures by monitoring key metrics, troubleshooting complex issues, and participating in an on-call rotation

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