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

Apple Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 190,000 - 280,000; Full time

Job summary

Apple Inc. is seeking a Staff/Sr. Core Infrastructure Engineer for AI, Search & Knowledge Platforms in the San Francisco Bay Area.

Join a team that builds the infrastructure to connect Apple users with vast information, powering Siri and other features. You will work with product, search, and machine learning teams to deliver scalable back-end systems and data pipelines, operating at trillions of data points.

Qualifications

• 10+ years of software development experience in building and operating large-scale cloud infrastructure.
• Experience designing, building, and operating large-scale distributed systems and backend services on cloud platforms like AWS/GCP and container orchestration like Kubernetes.
• Solid understanding of networking protocols (TCP/IP, DNS, HTTP) and their application in large-scale systems.
• Excellent communication and collaboration skills to work with cross-functional teams.
• Strong fundamentals in data structures, algorithms, and system design.
• BS, MS, or Ph.D. in Computer Science or related field, or equivalent experience.

Responsibilities

• Design, develop, and operate the large-scale backend infrastructure powering information intelligence and search features.
• Optimize massive-scale data pipelines to process large volumes of data.
• Collaborate with product, search, and ML teams to define infrastructure requirements and deliver robust solutions.
• Ensure health and performance of critical infrastructures by monitoring metrics, troubleshooting issues, and participating in on-call rotations.

Skills

Software development

Distributed systems

Cloud platforms

Kubernetes

Networking

System design

Communication

Education

BS/MS/PhD in Computer Science or related field

Tools

AWS

GCP

Kubernetes

Job description

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

San Francisco Bay Area, California, United States Machine Learning and AI

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.

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