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Apple Service Engineering (ASE) Compute team seeks an experienced software engineer to build and enhance Kubernetes clusters and infrastructure, with emphasis on GPUs. You will collaborate with world-class engineers to scale services and deliver reliable platforms.
You will partner with SRE to triage production issues, drive architecture, and help Kubernetes core components fit Apple's diverse needs for high performance and availability.
People at Apple don’t just build products — they craft the kind of experiencethat has revolutionized entire industries. The diverse collection of our peopleand their ideas inspire innovation in everything we do. Imagine what you coulddo here! Join Apple, and help us leave the world better than we found it. TheApple Service Engineering(ASE) team builds and provides systems andinfrastructure that power Apple’s services (such as iCloud, iTunes, Siri, andMaps). We are the foundation on which Apple’s software developers build theproducts that our customers love. Our services have to scale globally, stayhighly available, and "just work.” If you love designing, engineering andrunning systems and infrastructure that will help millions of customers, thenthis is the place for you! Apple Service Engineering (ASE)’s Compute team isseeking an experienced software engineer to build and enhance Kubernetesclusters and associated infrastructure that can scale to meet the demands ofApple’s Services offerings. You will work with world-class engineers on corecomponents of Kubernetes, customize it to help fit Apple’s diverse needs with anemphasis on GPUs, and engage with the upstream community to drive Apple’srequirements. Ultimately, you will help build the platform that delivers ourapplications at scale to our end users.
As part of the ASE Compute organization, you will:
At least 5+ years and Bachelor’s Degree in Computer Science, or equivalent related experience. Strong experience with building and scaling core components of Kubernetes or similar orchestration systems Highly proficient in Golang Experience building and operating large-scale distributed systems
Ability to drive a project from a simple idea to production Excellent verbal and written communication skills to effectively collaborate with multidisciplinary teams. Ability to articulate complex technical concepts to both technical and non-technical stakeholders. Experience with enabling GPUs and related networking and scheduling infrastructure on Kubernetes clusters is preferred.