Senior Data Scientist - System Scheduling Performance
Apply NowCompany: Apple
Location: San Diego, CA 92154
Description:
Summary
Allocating resource usage efficiently is a key differentiator for Apple products. The System Scheduling Performance team focuses on solving these tough resource tradeoffs by developing the technology for a background task scheduler that runs on every one of our platforms. Part of CoreOS, this team is at the intersection of power, performance, and feature latency. We look to schedule workloads intelligently in optimal device conditions, considering feature usage history, battery life, thermals, network efficiency, memory, and more. This technology is at the foundation of features such as Photo Processing, Spotlight Search, Automatic Software Updates, CloudKit Sync, Background App Refresh, iCloud Photo Library, and many more!
The team is looking for innovative candidates to help with quantitative analysis of high dimensional data to draw insights and design and implement new capabilities to manage process runtime and resource utilization across our diverse product lines. In this highly visible role, you will be driving the development of a scalable architecture for resource management, as well as influencing and assisting cross-functional teams with the adoption of these new operating system concepts. Through the combination of data and performance analysis, software prototyping, and systems engineering, you will push the boundary of what's possible at the core of the operating system!
Description
We're looking for a highly motivated systems software engineer with excellent analytics, problem solving and communication skills to:
- Develop, analyze, and present key performance metrics, tools, dashboards, reports and infrastructure for highly-visible OS features
- Design, implement, optimize, and evangelize new operating system constructs to enable intelligent resource management
- Write elegant, performant code and test, debug, and productize it
- Rapidly prototype new ideas and features in collaboration with others
- Consult with and influence other teams to drive adoption of new APIs
Allocating resource usage efficiently is a key differentiator for Apple products. The System Scheduling Performance team focuses on solving these tough resource tradeoffs by developing the technology for a background task scheduler that runs on every one of our platforms. Part of CoreOS, this team is at the intersection of power, performance, and feature latency. We look to schedule workloads intelligently in optimal device conditions, considering feature usage history, battery life, thermals, network efficiency, memory, and more. This technology is at the foundation of features such as Photo Processing, Spotlight Search, Automatic Software Updates, CloudKit Sync, Background App Refresh, iCloud Photo Library, and many more!
The team is looking for innovative candidates to help with quantitative analysis of high dimensional data to draw insights and design and implement new capabilities to manage process runtime and resource utilization across our diverse product lines. In this highly visible role, you will be driving the development of a scalable architecture for resource management, as well as influencing and assisting cross-functional teams with the adoption of these new operating system concepts. Through the combination of data and performance analysis, software prototyping, and systems engineering, you will push the boundary of what's possible at the core of the operating system!
Description
We're looking for a highly motivated systems software engineer with excellent analytics, problem solving and communication skills to:
- Develop, analyze, and present key performance metrics, tools, dashboards, reports and infrastructure for highly-visible OS features
- Design, implement, optimize, and evangelize new operating system constructs to enable intelligent resource management
- Write elegant, performant code and test, debug, and productize it
- Rapidly prototype new ideas and features in collaboration with others
- Consult with and influence other teams to drive adoption of new APIs