at Apple
Location
Seattle, United States of America
Compensation
$198k–$298k USD
Type
full time
Posted
3 months ago
Market range · company + function + seniority
p25 · target · p75 · n=35
Posted $298k · below the band
Posting health
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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.
Manage, mentor, and grow a team of software engineers — investing in their development, setting clear expectations, and providing consistent, honest feedback
Participate actively in design reviews, technical trade-off discussions, and code quality standards to maintain a high engineering bar
Foster a strong engineering culture that values technical excellence, collaboration, accountability, and continuous improvement.
Drive delivery accountability — owning execution against commitments
Work closely with recruiting to attract and retain top-tier engineering talent and build a diverse, inclusive team.
Remove blockers and create conditions for the team to do their best work
Manage team health, resolve interpersonal issues, and sustain a collaborative working environment
Communicate team progress and needs to leadership and cross-functional stakeholders
Support headcount planning and team growth
Collaborate with partner teams and cross-functional partners
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.
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.
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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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