Xcode Intelligence Foundation Engineer

The Xcode Intelligence Foundations team develops tools and systems that empower developers worldwide to leverage the creative power of machine learning in software development. From developers taking their first steps to teams building large, complex apps, our work underpins intelligence features across Xcode. Our goal is to equip developers on Apple platforms with dependable, well-crafted, and thoughtfully designed tools that reduce the time between idea and outcome, enhance software quality, and build remarkable experiences.

This team is responsible for building and maintaining frameworks, systems, and approaches that integrate Xcode with a variety of intelligent tools for developers - including third-party coding agents and large language models.\n\nDay-to-day, engineers on the Xcode Intelligence Foundations team work cross-functionally with peers at Apple and our industry partners to build features, troubleshoot issues, and help prototype and conceive the next generation of software development tools. Engineers are expected to actively participate in all aspects of building software - from design and planning through evaluation and long-term maintenance.\n\nThe transformational opportunities offered by LLMs across all disciplines come with new challenges, ranging from fundamentally new ways of modeling problems to the ethical implications of generative content; candidates for this team should be prepared to grapple with these challenges directly and responsibly. The best candidates for this team are curious, thoughtful, and always put people first.

3 years experience developing desktop or mobile applications\nBachelor's degree or equivalent experience in computer science or a related field\nA track record of building thoughtful, polished user experiences.\nA demonstrated ability to think critically and creatively\nInstincts for clear problem solving and an ability to discern when a simpler or different approach is needed

Experience with generative AI concepts and technologies. A clear understanding of the basic elements of a Large Language Model as it exists today, why it can do the things it does, and where it may fall short\nFamiliarity with Swift and Apple's platforms and SDKs\nExperience building developer tools or LLM-assisted experiences\nStrong depth of understanding in one or more of: Performance optimization, API and standards design, compilers and lower-level runtime features, information retrieval structures and algorithms, language tooling and static analysis, or interfaces between probabilistic inference and deterministic software systems