Senior OS Data & Telemetry Engineer - Embedded Analytics

Apple Inc.

Cupertino (CA)

On-site

USD 150,400 - 277,600

Full time

14 days+

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Job summary

Apple Inc. in Cupertino seeks a Senior OS Software Engineer for Field Engagement & Analytics to help shape data collection on Apple devices across all platforms.

You will own tools, daemons, and frameworks forming our data pipeline, delivering on-device software for macOS, iOS, tvOS, watchOS, and visionOS, while collaborating with cross-functional teams.

Strong emphasis on user privacy, performance under constrained environments, and mentoring junior engineers.

Qualifications

  • B.S. in Computer Science or equivalent experience.
  • 5 years of software development experience.
  • Understanding of OS fundamentals including process management, memory management, IPC, concurrent programming, and synchronization primitives.
  • Expert-level experience with C++, Objective-C, or Swift.
  • Excellent communication and collaboration across teams.
  • Familiarity with Gen AI coding tools for design, code generation, and debugging.

Responsibilities

  • Own the tools, daemons, and frameworks that form the foundation of the data pipeline.
  • Develop and ship software for macOS, iOS, tvOS, watchOS, and visionOS.
  • Collaborate across Apple teams to drive decisions shaping data collection strategy.
  • Ensure privacy and security are central to the data collection pipeline.

Skills

C++
Objective-C
Swift
Operating systems fundamentals
Inter-process communication
Privacy-preserving data collection
Concurrent programming
Excellent communication
Gen AI tooling

Education

B.S. in Computer Science

Tools

Xcode
LLDB

Job description

Apple Inc. in Cupertino seeks a Senior OS Software Engineer for Field Engagement & Analytics to help shape data collection on Apple devices across all platforms.

You will own tools, daemons, and frameworks forming our data pipeline, delivering on-device software for macOS, iOS, tvOS, watchOS, and visionOS, while collaborating with cross-functional teams.

Strong emphasis on user privacy, performance under constrained environments, and mentoring junior engineers.

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