Engineering Manager

Apple • Cupertino, CA

1d

About The Position

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.

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.

Requirements

• 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.

Nice To Haves

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree