AI Software Engineer, Siri User Experiences - Full-time

**Role Number:** 200666380-0836 **Summary** Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's 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 up. Your work will have direct, meaningful impact for users 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, shipping technology that is centered around users and their needs. Do you have a passion for building software that enables intelligent experiences on device? We are engineers, scientists, and problem solvers working to bring smarter, faster, and more natural interactions to Siri. We are looking for an enthusiastic Software Engineer to join our team and help shape the future of Apple Intelligence and Siri experiences. **Description** In this role, you will contribute to developing the on-device software platform that powers Siri and Apple Intelligence experiences across the OS. You will work closely with experienced engineers to build scalable, high-quality software and learn how intelligent features are developed and delivered to millions of users. **Minimum Qualifications** + BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related field. + Experience programming in Swift, Objective-C, C++, Java, Python, or similar languages through coursework, internships, research, or personal projects. + Understanding of core computer science fundamentals including data structures, algorithms, and object-oriented design. + Familiarity with software development practices such as debugging, testing, and version control. + Strong problem-solving, communication, and collaboration skills. + Passion for learning new technologies and building products used by millions of customers. **Preferred Qualifications** + nternship, research, academic, or personal project experience building software applications or systems. + Familiarity with operating systems concepts, concurrency, and performance optimization. + Exposure to machine learning, generative AI, Large Language Models (LLMs), or AI-assisted development tools. + Experience developing mobile, systems, or platform software. + Interest in building high-performance software for resource-constrained environments.