Senior Engineer - System Scheduling Performance at Apple

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Programming, Operating Systems, Data Analysis, Communication, Problem Solving, Software Development, Collaboration, Performance Analysis, Resource Management, API Development, Background Processing, Power Optimization, Python, Objective C, Swift

Industry

Computers and Electronics Manufacturing

Description

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 Apple Intelligence, 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 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 effective collaboration, 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 design a scalable scheduling system to handle the ever increasing demand for background processing as well as contribute high-quality software to iOS, iPadOS, macOS, watchOS, visionOS, tvOS and more. In this unique and highly visible role, you will be working cross-functionally to support various domains and new use-cases to enable amazing user experiences. You will develop intelligent scheduling policies, build new APIs for client adoption, and work with teams across Apple to optimize their background workloads. Through on-device software development and experimentation, you will push the boundary of what's possible in a highly contested and collaborative operating system. MINIMUM QUALIFICATIONS 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 Familiarity with statistics and data analysis to derive meaningful insights from large datasets Highly professional and collaborative with outstanding communication and presentation skills Proven track record leading software projects from inception through customer delivery PREFERRED QUALIFICATIONS M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field, with strong Systems understanding and intuition Working knowledge of Operating Systems (memory management, resource contention, thread/process lifecycles, file systems, etc.) Experience with identifying and driving Power & Performance optimizations Familiarity with Python, Objective C, or Swift. Ability to deliver high quality work on tight schedules consistently Experience driving cross-functional projects with diverse sets of stakeholders

Responsibilities

You will design and implement new capabilities to manage process runtime and resource utilization across diverse product lines. This role involves developing intelligent scheduling policies and optimizing background workloads across various teams at Apple.