Software Engineer - GenAI, Ai & Data Platforms (AiDP)

Join us, the team that serves as Apple's nerve center: Apple Information Systems and Technology group! We are looking for mid-career Software Engineers, who will work closely with other Software Engineers, Project & Product Managers, Product Designers, other internal & external partners as well as with Apple leadership. There are countless ways you can contribute here, from working on apple.com to software for digital & physical Apple Stores, from software for Apple Care to Apple-wide systems for identity, operations, recruiting, and people management, from software for Apple data centers to Apple-wide AI, ML and data processing systems. When you join IS&T, you'll help design and manage systems, frameworks, and apps that countless Apple customers and employees rely on every day. Together, we'll explore all the ways to improve how Apple operates, freeing our employees to do what they do best, and crafting magical experiences for our customers.

As a Software Engineer, you will design, develop, test, document, improve, and maintain code mostly in Java and Python (and other languages as needed) that will help build world class AI and Data platforms. You will partake in every aspect of your projects, from planning to design to implementation and future iterations, and you will be encouraged to play an extended role in designing solutions. The ideal candidate is self-motivated, pro-active and results-driven. Attention to detail, dedication to providing high-quality solutions modeling engineering excellence, and ability to work towards on-time delivery of projects are all crucial qualities needed to work at Apple as a Software Engineer. The ideal candidate will also possess excellent communication and collaboration skills to work with various internal and external partners.\n

3+ years proven experience developing software in Java or Python in a professional capacity\n2+ years proven experience implementing, and shipping high-scale, high-performance, highly available, fault-tolerant, and secure cloud-based distributed systems, including proficiency in API implementation (e.g. REST, RPC, GraphQL, etc.)\nDemonstrated ability to conduct performance analysis and troubleshoot large scale distributed systems\nProficiency in data structures, algorithms, or software design patterns (e.g., GoF, \"Gang of Four\"), with a proven focus on implementing testable, maintainable, and extensible backend code\nBS in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience

Experience with distributed orchestration, storage (Iceberg, Delta) & compute systems (e.g., Airflow, Spark, Flink, etc.)\n\nExperience working with GenAI - building AI Agents, MCP servers, or Skills.\n\nProficiency in concurrency, memory management, and performance optimization techniques\nComfortable using CI/CD tools to build, test, deploy, and release containerized software applications on cloud-based Kubernetes (e.g. AWS EKS, Google Cloud Platform GKE, Azure AKS, etc.)