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ML Compute Efficiency Automation Engineer, Infrastructure & Planning

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Apple
๐Ÿ“ Cupertino, United States
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Location Cupertino
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Posted June 21, 2026
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Commute Local Area
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Job Description

**Role Number:** 200669000-0836

**Summary**
Appleโ€™s Platform Acceleration & Compute Efficiency (PACE) is a high-leverage team operating at the intersection of our ML organizations, underlying compute infrastructure, and core platform tooling. Our mission is to empower Appleโ€™s software engineering teams with efficient, scalable compute. By driving out operational friction and optimizing the broader machine learning ecosystem, we directly accelerate the pace of development for our Software and AIML organization.
Foundation models are central to Apple's user experiences and maximizing the efficiency of our ML compute is paramount. Compute efficiency sits at the center of this role, ensuring that Appleโ€™s models run as fast, reliably, and cost-effectively as possible. In this role you will tackle optimization challenges, from maximizing hardware utilization across GPUs, TPUs, and custom Apple Silicon, to shaping workload scheduling and capacity allocation for large model ser...

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๐Ÿ“ Location Details

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City
Cupertino
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Country
United States
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Commute
Local Area

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