Siri AI Software Engineer, Siri Core

Join the Siri Runtime Platform team and help redefine what a deeply personal and integrated assistant can be. As part of the Siri organization you will help shape one of the worlds most widely used AI assistants powered by our next generation of Apple Intelligence with capabilities like personal context understanding and on-screen awareness built with privacy from the ground are engineers scientists and problem solvers working to bring smarter faster and more natural interactions to millions of users worldwide. As a Software Engineer on our team you will build the on-device runtime foundation that powers Siri enabling seamless intelligent and secure experiences with direct meaningful impact across iOS iPadOS macOS watchOS and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design.n

In this role you will be at the forefront of developing the on-device software platform that enables Siri to deliver on Apple Intelligence throughout the OS. You will design and implement new features optimize system performance for low-latency interaction and help integrate intelligent experiences into peoples daily lives. You will work closely with engineers across Siri and the wider Apple organization to create scalable efficient and user-focused solutions that leverage the latest advancements in Large Language Models (LLMs) and on-device intelligence.

Design develop and maintain the robust on-device runtime platform that enables end-to-end Siri code that is well-designed scalable maintainable highly testable easy to debug and highly performant ensuring best practices in to and help shape key architecture decisions that enable the product to scale and proactively find areas of code to further optimize for profile and optimize system performance to ensure high-quality responsive software that interfaces with LLMs and on-device intelligence to enhance Siris capabilities collaborating with cross-functional teams to ship new GenAI-based tooling and AI assistants to enhance engineering productivity code quality and efficiency at scale.

BS or MS in Computer Science or equivalent practical experience with 5 years developing and shipping production proficiency in C Swift or Objective-C with a solid understanding of object-oriented programming and software design understanding of OS internals concurrency multithreading and memory familiarity with Large Language Models (LLMs) and AI assistants with experience using GenAI-based tools to accelerate engineering tasks (e.g. code generation testing or system analysis.)nExperience with system performance analysis and optimization problem-solving and interpersonal skills with the ability to thrive in a fast-paced development to work independently solve complex problems and learn new technologies communication skills with experience collaborating across different technical teams

Proficiency with Swift and Xcode with experience building applications for Apple designing and developing systems that are efficient in resource-constrained to on-device development workflows (e.g. debugging tools memory profiling performance optimization).nExperience working on AI software runtimes with strong modeling intuition or on voice assistants / conversational AI systems leveraging with API design or framework development including key software components and APIs used cross-functionally across different applications and leading the design of complex features or driving architectural decisions across teams (for candidates at the more senior end of the range).