The team is focused on building a next-generation platform for orchestrating and deploying AI agents, aimed at enhancing the development lifecycle of products for Apple customers. This small, skilled team is responsible for creating tools and systems that support Apple's internal development teams, machine learning engineers, and data scientists. The role requires creativity and problem-solving skills to develop scalable and maintainable solutions. Successful candidates will enjoy tackling challenging distributed systems problems in a collaborative environment.

• 5+ years of industry experience as a Software Engineer working on deploying large-scale systems
• Strong understanding of 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 fields
• Bachelor's degree in Computer Science or related experience
• Experience with developer tools or developer productivity systems
• Experience with open source or inner source
• Master's degree in Computer Science or related experience

• Implement new features for the next generation AI agent platform
• Collaborate with cross-functional teams to deploy custom AI agents
• Support applied machine learning teams throughout their product development cycle
• Develop scalable, maintainable, and cost-effective solutions

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.