Systems Scheduling Engineer — Power, Performance, OS

Apple Inc.

San Diego, Northern (CA, KY)

Hybrid

USD 142,000 - 263,000

Full time

2 days ago
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Job summary

Apple is seeking a Software Engineer to join the System Scheduling Performance team in San Diego, contributing to the background task scheduler across iOS, macOS, watchOS, and visionOS. You will design scalable OS concepts balancing power, performance, and latency.

You will analyze performance data from large device fleets, prototype new ideas, and collaborate across engineering teams to drive adoption of scheduling policies and APIs, influencing cross-functional projects at Apple.

Qualifications

  • 2+ years of software engineering after degree.
  • Understanding of OS components and responsibilities.
  • Experience with data analysis and statistics to derive insights.
  • Excellent communication and collaborative working style.
  • Track record of leading software projects from inception to delivery.

Responsibilities

  • Designs, implements and evangelizes new OS constructs for resource management.
  • Develops scheduling policies balancing power, thermals, memory, and network efficiency.
  • Builds and evolves APIs for scheduling background work.
  • Analyzes and presents performance data for OS features.
  • Prototypes ideas and collaborates with other engineers.
  • Partners with client teams to guide adoption of scheduling practices.
  • Tests, debugs, and productizes code to Apple quality bar.

Skills

2+ years experience
Operating systems knowledge
Data analysis
Strong communication
Cross-functional leadership

Education

Bachelor's degree in Computer Science, Electrical Engineering, or related field

Tools

C/C++
Objective-C
Swift
Python

Job description

Apple is seeking a Software Engineer to join the System Scheduling Performance team in San Diego, contributing to the background task scheduler across iOS, macOS, watchOS, and visionOS. You will design scalable OS concepts balancing power, performance, and latency.

You will analyze performance data from large device fleets, prototype new ideas, and collaborate across engineering teams to drive adoption of scheduling policies and APIs, influencing cross-functional projects at Apple.

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