Software Engineer, Siri User Experiences

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. 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. Contribute to the development and implementation of software features that support Siri and Apple Intelligence experiences. Write clean, maintainable, and efficient code with a focus on quality and reliability. Collaborate with cross-functional teams to design, build, test, and ship new capabilities. Investigate and resolve software issues, bugs, and performance bottlenecks. Learn and apply software engineering best practices, including testing, debugging, and code reviews. Develop software that interfaces with AI-powered systems and on-device intelligence technologies. Leverage modern developer tools, including AI-assisted coding tools, to improve productivity and code quality. 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. Internship, 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.