On-Device Intelligence Systems Engineer

Apple, Inc.

Cupertino (CA)

On-site

USD 150,000 - 278,000

Full time

4 hours ago
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Job summary

Apple, Inc. in Cupertino seeks an experienced software engineer to own the development of daemons and frameworks powering on-device intelligence across iOS, macOS, watchOS, and more. You will collaborate with ML and app engineers to keep features fast and reliable.

Responsibilities include model management for on-device inference, routing to private cloud compute, scheduling document processing for search, and contributing across the full software lifecycle, from design to debugging.

Qualifications

  • Expert-level proficiency in C, Objective-C, or Swift.
  • Knowledge of operating system architecture and systems programming fundamentals.
  • Experience developing daemons, libraries, or command-line tools on a Unix or Linux platform.
  • Familiarity with machine learning concepts.
  • Analytical and debugging skills.

Responsibilities

  • Design, develop, and maintain daemons and frameworks that support on-device intelligence features across Apple platforms.
  • Manage models for on-device inference and coordinate routing to private cloud compute.
  • Schedule and optimize document processing workloads to power search experiences.
  • Develop and improve unit tests and performance tests; diagnose and resolve customer-reported issues.
  • Provide design guidance and technical expertise to partner engineering teams across the company.

Skills

C
Objective-C
Swift
Systems programming
Machine learning concepts
Debugging

Job description

Apple, Inc. in Cupertino seeks an experienced software engineer to own the development of daemons and frameworks powering on-device intelligence across iOS, macOS, watchOS, and more. You will collaborate with ML and app engineers to keep features fast and reliable.

Responsibilities include model management for on-device inference, routing to private cloud compute, scheduling document processing for search, and contributing across the full software lifecycle, from design to debugging.

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