Engineering Manager en Apple

Weekly Hours: 40

Role Number: 200648197-3337

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.