Software Engineer - System Scheduling Performance

About the position

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!

Responsibilities

• 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

Requirements

• Strong programming background and technical skills with 2+ years after a Bachelor's degree in Computer Science, Electrical Engineering, or a related field
• Clear understanding of operating system components and responsibilities
• Strong foundation in statistics and data analysis to derive meaningful insights from large datasets
• Highly professional and collaborative with outstanding communication and presentation skills

Nice-to-haves

• M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field, with strong statistical skills and intuition
• Familiarity with Python, Objective C, or Swift
• Working knowledge of Operating Systems (memory management, resource contention, thread/process lifecycles, file systems, etc.)
• Experience driving cross-functional projects with diverse sets of stakeholders
• Ability to deliver high quality work on tight schedules consistently
• Proven track record leading software projects from inception through customer delivery