On-Device Ad Systems Engineer (Privacy)

Apple Inc.

Austin, Northern (TX, KY)

Hybrid

USD 140,000 - 200,000

Full time

43 hours ago
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Job summary

Apple Inc. in Austin, Texas seeks systems and platform engineer for on-device ad delivery across the App Store, Apple News, Stocks, and Maps.

This is not a UI role; it focuses on low-level systems, cross-process communication, concurrency, and privacy-by-architecture at scale. Join a privacy-first team that designs OS daemons, frameworks, and SDKs to fetch, rank, and filter ad candidates while upholding user privacy.

Qualifications

  • Bachelor's degree or equivalent.
  • Solid OS fundamentals (processes/threads, memory, scheduling, file systems) on any platform.
  • Professional or academic-project experience in a C-like language (Swift, Obj-C, Java, C++, C#, Go, Rust, etc.)
  • Working understanding of concurrency basics (threads, shared state, why locking is needed)
  • Solid data structures & algorithms; can reason about time/space complexity
  • Eagerness to learn, collaborate, take feedback; clear communication

Responsibilities

  • Collaborate with cross-functional partners to design and implement on-device solutions that power ad delivery across the App Store, Apple News and Stocks, and Apple Maps
  • Design, implement, and debug performant, privacy-preserving on-device components that operate at scale inside daemons, frameworks, and SDKs
  • Partner across engineering, product, and business to shape the roadmap for on-device ad delivery

Skills

OS fundamentals
Concurrency basics
Data structures
Programming languages
Communication

Education

Bachelor's degree or equivalent

Job description

Apple Inc. in Austin, Texas seeks systems and platform engineer for on-device ad delivery across the App Store, Apple News, Stocks, and Maps.

This is not a UI role; it focuses on low-level systems, cross-process communication, concurrency, and privacy-by-architecture at scale. Join a privacy-first team that designs OS daemons, frameworks, and SDKs to fetch, rank, and filter ad candidates while upholding user privacy.

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