Senior Compute Site Reliability Engineer (GPU)

Apple is seeking a Senior Compute Site Reliability Engineer to join their Services Engineering team, focusing on GPU infrastructure and cloud services. This role combines traditional SRE responsibilities with specialized GPU-accelerated computing expertise.

The position offers an exciting opportunity to work at one of the world's leading technology companies, where you'll be responsible for maintaining and enhancing SRE practices for a private cloud service. You'll be working with cutting-edge technology, including GPU-accelerated VM infrastructure, Kubernetes clusters, and modern monitoring tools.

The ideal candidate will bring 5+ years of SRE/DevOps experience, along with deep knowledge of GPU infrastructure and cloud platforms. You'll be working in a collaborative environment, interfacing with data scientists, developers, and other stakeholders to build and maintain robust, scalable systems.

Key aspects of the role include designing GPU-accelerated infrastructure, implementing Kubernetes clusters, ensuring security and scalability, and optimizing resource utilization. You'll be involved in critical activities such as capacity planning, scale testing, and disaster recovery exercises.

The compensation package is highly competitive, ranging from $135,400 to $250,600, complemented by comprehensive benefits including medical coverage, stock options, and education reimbursement. Apple's commitment to innovation and excellence makes this an ideal opportunity for someone passionate about infrastructure and GPU computing.

The position is based in Seattle, offering the chance to work in one of the major tech hubs while contributing to Apple's cloud infrastructure. You'll be part of a team that values ownership, clear communication, and continuous learning, making it an excellent opportunity for career growth and technical development.

This role is perfect for someone who combines technical expertise with strong communication skills and a passion for building reliable, scalable systems. You'll have the opportunity to work with modern technologies while solving complex challenges in GPU computing and infrastructure management.