Software Engineer, Internal Tools - Media, Graphics & Compute Tech

The Media, Graphics & Compute Technologies (MGC) organization serves as the foundation for audio and video media across Apple’s diverse range of innovative products, including iPhones, HomePods, AppleTVs, Apple Watches, iPads, Macs, Vision Pros, and professional and consumer applications such as Final Cut, Music, TV, and iWork. Melevates the media experience on iOS, tvOS, watchOS, macOS, and visionOS platforms through technologies like AVFoundation, CoreMedia, CoreAudio, Media Toolbox, and Video Toolbox.

This position is with the Streaming Media Ecosystem (SME) team, which delivers a comprehensive set of streaming technologies, ensuring seamless media experiences for Apple and third-party services. The services SME supports include Apple TV, Apple Music, Disney Plus, Netflix, and HBO. This role focuses on designing and developing applications, services, and platform infrastructure that support SME’s products and features. This work plays a critical role in ensuring product quality by building the tooling and automation frameworks that enable rapid, reliable delivery of world-class streaming experiences., We’re looking for a meticulous, focused, and self-motivated individual, passionate about automating workflows, including through GenAI and agentic tooling. You’ll partner with cross-functional teams to identify opportunities to improve their efficiency.

You’ll join a team of engineers building scalable applications that help a large engineering organization ship higher-quality software, faster.

You’ll design reliable, highly available applications, services, and platforms, with automation as the guiding goal.

8+ years of software development experience, with strong proficiency in Python or a similar language

Demonstrated expertise in debugging complex systems

Experience architecting and implementing large-scale distributed systems

Preferred Qualifications

Proficiency in multiple programming languages

Familiarity with application performance profiling and benchmarking

Hands-on experience building applications or developer tooling that leverage GenAI technologies, such as LLM APIs, AI agents, retrieval-augmented generation (RAG), or the Model Context Protocol (MCP)