Engineering Manager
Cupertino
May 8, 2026
Apple Custom Ats
Summary
Apple Data Platform is looking for an Engineering Manager to lead and develop a team of software engineers building distributed data fabric infrastructure at Apple-scale. This is a highly technical role supporting systems that are critical to Apple's AI/ML workloads, managing data placement, replication, and lifecycle across multi-cloud and multi-datacenter environments.
Description
We build and operate a distributed, multi-tiered data fabric written in Rust, powering Apple's AI/ML infrastructure at scale. The team is small and fast-paced, operating with high autonomy, and focusing on building simple, maintainable solutions to hard infrastructure problems. We are an international team with members in Cupertino, CA and London, UK.
Minimum Qualifications
Experience managing or collaborating with distributed international teams
5+ years of experience designing and building distributed systems at scale
5+ years of hands-on experience in systems programming, with proficiency in Rust or equivalent low-level languages (C, C++, etc)
Experience with AI/ML infrastructure or data pipeline systems
Deep understanding of distributed systems, object storage, and large-scale data infrastructure
B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience.
Preferred Qualifications
Experience with multi-cloud storage systems (e.g. S3, GCS, Azure Blob) and data-orchestration at scale
Familiarity with storage performance characteristics, replication strategies, and fault tolerance in distributed environments
Experience managing software engineers, with demonstrated ability to develop individuals and improve team performance
Experience hiring and retaining strong engineering talent
Comfortable operating with high autonomy and minimal process overhead
Experience navigating complex, cross-functional environments and managing expectations across multiple stakeholders and partner teams.
Excellent communication skills, with the ability to clearly articulate technical concepts, trade-offs, and impact to diverse audiences, including senior leadership.
