System Software Engineer - Cloud OS for Data Center Compute

Apple Inc.; Seattle (WA); On-site; USD 175,000 - 263,300; Full time

Benefits offered by this job

Employee stock programs

Relocation assistance

Education reimbursement

Job summary

Apple Inc. in Seattle, WA is seeking a Software Engineer for the Cloud OS System Software Team.

You will build and integrate OS-level components for Apple silicon servers powering data centers, focusing on performance, scalability, and reliability across large-scale distributed systems. You\'ll collaborate across Apple teams to optimize hardware acceleration for ML and HPC workloads, develop runtime libraries, daemons, and frameworks, and help shape the foundation of our future cloud

Qualifications

• 4+ years of software engineering experience.
• Proficiency in C/C++, Obj-C, or Swift.
• Strong knowledge of OS architecture and low-level components.
• Experience with Linux or Apple OS system programming and daemon lifecycle.

Responsibilities

• Develop, maintain, and optimize OS-level components for data center infrastructure.
• Collaborate with cross-functional teams to improve performance, security, and resource efficiency.
• Troubleshoot low-level OS issues, networking bottlenecks, and hardware-software integration challenges.
• Contribute to automation, monitoring, and diagnostic tools to improve system reliability.
• Participate in code reviews, design discussions, and architectural decisions.
• Stay up to date with OS technologies, virtualization, and containerization trends.

Skills

C/C++

Obj-C

Swift

Education

Bachelor's or Master's in CS/CE

Tools

Docker

Kubernetes

Launchd

Job description

Apple Inc. in Seattle, WA is seeking a Software Engineer for the Cloud OS System Software Team.

You will build and integrate OS-level components for Apple silicon servers powering data centers, focusing on performance, scalability, and reliability across large-scale distributed systems. You\'ll collaborate across Apple teams to optimize hardware acceleration for ML and HPC workloads, develop runtime libraries, daemons, and frameworks, and help shape the foundation of our future cloud