Software Development Engineer, Vision Products Software

Apple builds products that are loved by people around the world-products that enrich lives by making powerful technology feel simple, intuitive, and accessible. Through deep integration of hardware, software, services, and design, we deliver end-to-end experiences that fit naturally into everyday life and work seamlessly across your devices and data. This is where ambitious ideas become real products, shipped at global scale and trusted by millions, and increasingly billions, of people.

Were building Apple Intelligence to be the most personalized and integrated intelligence on the planet. Apple is a company people trust with their most personal information-from everyday communication to photos, health, and fitness-enabling us to build highly contextual experiences with uncompromising privacy & security.

Were looking for software engineers to build experiences that harness cutting-edge technologies like AI, machine learning, and computer vision to solve difficult, high-impact problems at scale, in ways that feel effortless to our users. Our work sits at the intersection of AI, system software, and user experience, and aims to create features youd genuinely want to use. This is a rare opportunity to get in on the ground floor of something that will redefine how millions of people interact with their devices, while upholding Apples core values of privacy, accessibility, and inclusion. In this role, you will work across the stack - from the system software and frameworks to end-user interfaces - to build Apple Intelligence features that enrich peoples lives. This is a highly cross-functional role working with design, algorithms, software, services, privacy, security, performance, and sometimes even HW / Silicon teams across Apple to engineer end-to-end solutions. You will need to work quickly and creatively to help demonstrate the viability of ideas and technologies while building robust, production-ready systems that millions of users will depend on. You will need to be comfortable writing Swift code, evaluating AI/ML algorithms for on-device integration and measuring and improving their quality through evals and prompt iteration, collaborating on user experience design, debugging complex cross-device interactions, and contributing to a culture of shipping high-quality production code. In addition to software engineering, you will also apply excellent UX intuition to identify and shape experience opportunities, iterate with design, and define technical requirements that drive development.Prototypes early-stage concepts to validate feasibility and build the case for further investment. Owns the engineering side of cross-functional initiatives from kickoff through delivery. Solves technically difficult problems embedded within larger engineering efforts. Engineers solutions spanning sensor or data-pipeline processing through AI/ML algorithms to end-user application logic.BS / MS in Computer Science or equivalent experience 10+ years in software development Rapid validation through hands-on execution - Experience quickly building prototypes to prove out viability, then using that work to secure buy-in and formal investment in larger initiatives. End-to-end program ownership & executive representation - Experience owning the engineering side of cross-functional initiatives from kickoff through delivery. Low-level-to-product technical range - Experience translating low-level, raw technical data (e.g., sensor or pipeline data) into the logic and decisions that directly shape a user-facing product. Deep technical ownership - Experience being the go-to owner for solving specific, technically difficult problems. Excellent programming and GenAI coding skills - Experience with an app programming language (preferably at least one of Swift, Objective-C, C++) and strong understanding of data structures, memory management, and concurrency, and comfort with development using GenAI coding tools.Shipping user-facing features or products to production at scale Developing for iOS/MacOS and/or using Apple system frameworks Applied ML engineering experience building and shipping features using LLMs and/or ML algorithms, including on-device inference, building evals and data-driven validation, iterating on prompts and model behavior to improve quality over time, defining requirements, and collaborating with algorithm teams Processing sensor data, (e.g. image/video, audio, motion), such as using computer vision / signal processing Developing system software or frameworks, including API definition and performance optimization (particularly for resource constrained or real-time systems)