The Answers, Knowledge, and Intelligence team is seeking a software engineer to build and maintain core infrastructure powering on-device search technologies across Apple's ecosystem. In this role, you'll collaborate with world-class teams in machine learning, natural language processing, and platform infrastructure to deliver private, fast, and intelligent user experiences. Your work will directly impact how users interact with information across iPhone, iPad, Mac, and more.
Join us and help shape the future of on-device intelligence at Apple, where performance, privacy, and intelligent user experiences are at the heart of everything we build!
Description
As an Infrastructure Engineer on our team, you will play a critical role in supporting the on-device foundation for Apple’s search capabilities. You’ll contribute to scalable, modular, and privacy-preserving infrastructure, working closely with teams across NLP, application frameworks, and OS technologies to ensure seamless integration across all Apple platforms.
Key responsibilities include:
- Designing and maintaining robust infrastructure for on-device search systems.
- Building durable and reusable components with long-term evolution in mind.
- Collaborating across teams to adapt and optimize ML/NLP technologies for Apple’s software stack.
- Ensuring user privacy by using Apple’s secure and on-device architecture.
We value engineers who are passionate about infrastructure, enthusiastic about cross-functional collaboration, and motivated by the challenges of working at scale!
Minimum Qualifications
2+ years of experience in Swift, Objective-C, or C++
Experience designing and maintaining CI/CD pipelines
Strong scripting skills in Python, Bash, or similar
Proficiency in automating workflows and deployment tasks
Capable of analyzing and debugging large-scale systems and datasets
Bachelor’s degree in Computer Science or equivalent practical experience
Preferred Qualifications
Experience developing for Apple platforms
Familiarity with profiling tools and performance optimization techniques
Background in search, indexing, or natural language processing technologies
Experience working on privacy-preserving infrastructure and on-device ML
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
