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.\\n
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.\n
Experience managing or collaborating with distributed international teams\n5+ years of experience designing and building distributed systems at scale\n5+ years of hands-on experience in systems programming, with proficiency in Rust or equivalent low-level languages (C, C++, etc)\nExperience with AI/ML infrastructure or data pipeline systems\nDeep understanding of distributed systems, object storage, and large-scale data infrastructure\nB.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent practical experience.\n
Experience with multi-cloud storage systems (e.g. S3, GCS, Azure Blob) and data-orchestration at scale\nFamiliarity with storage performance characteristics, replication strategies, and fault tolerance in distributed environments\nExperience managing software engineers, with demonstrated ability to develop individuals and improve team performance\nExperience hiring and retaining strong engineering talent\nComfortable operating with high autonomy and minimal process overhead\nExperience navigating complex, cross-functional environments and managing expectations across multiple stakeholders and partner teams.\nExcellent communication skills, with the ability to clearly articulate technical concepts, trade-offs, and impact to diverse audiences, including senior leadership.\n
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 56dc281edf92b915944998c46a4a82c2
- Posted 2 days ago
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