This role involves engineering continuous improvements in stability and performance for private cloud compute applications focused on generative AI at Apple. The team is composed of skilled engineers who value collaboration and quality output. You will work on developing scalable frameworks in Swift and C++ to manage ML inference tasks across various hardware. The position emphasizes integrating inference code into a full service stack to ensure reliable and performant user traffic handling.

• Experience working as a software engineer on large production systems.
• Experience programming in Swift, C, C++, Python, iOS/macOS, or XCode.
• Practical experience running machine learning models and evaluating them for quality and performance metrics.
• Familiarity with the Apple ML stack, including ANE, CoreML, and MPS/Metal.
• Familiarity with high-level general distributed ML stacks such as PyTorch-distributed and NCCL.
• Experience with high throughput inter-chip communication systems.
• Experience in on-device iOS development.

• Help engineer continuous improvements in stability and performance for private cloud compute.
• Implement new functionality emerging from the research community in collaboration with product teams.
• Write performant and scalable frameworks to distribute and coordinate ML inference tasks.
• Integrate inference code into a full service stack to ensure reliable and performant user traffic.
• Develop code that is easy and safe to develop, update, and monitor.

• 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.