Job Description

Our team is building the next generation platform for orchestrating and deploying AI agents, and their integration into the lifecycle of the development of products Apple customers love. We're a fast moving, highly skilled but small team designing and building a collection of tools and systems used by Apple's internal development teams, MLEs and data scientists to build, test and deploy their products. Our systems have to scale, stay highly available, and "just work". That's a tall order, and we're looking for talented and passionate engineers who love dealing with such challenges.

In this role, you will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions. You will be successful and feel fulfilled in our team if you enjoy tackling challenging distributed systems problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.

The platform also powers Apple’s internal ML systems and tools that support applied ML teams throughout their product development cycle. Using our systems, teams launch AI agents at massive scale. In this role, you will implement new features for our next generation AI agent platform. You collaborate in a highly x-functional setup with Apple’s internal teams who need to deploy custom AI agents in our platform, and Apple’s internal teams who provide the specialized compute for our platform.

Preferred Qualifications

Experience with developer tools or developer productivity systems
Experience with open source or inner source
MS in Computer Science or related experience

Minimum Qualifications

5+ years industry experience as a Software Engineer working on deploying large-scale systems
Strong understanding in data centric systems, distributed systems, reliability, and cloud services
Hands-on experience in designing and coding large scale systems
Proven experience with applied machine learning, data engineering, or similar
Bachelor in Computer Science or related experience