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Apple Cloud Infrastructure Engineer - Systems United States, Washington, Seattle 220696061
26.08.2025
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Apple Service Engineering (ASE)’s Compute team is seeking an experienced software engineer to build and enhance internal cloud infrastructure offerings. You will be responsible for core components of this cutting edge platform, integrating the latest cloud hardware technologies with Apple’s own hardware and software. In this role, you will collaborate with teams across Apple to deliver forward-looking high-performance virtualized infrastructure, supporting everything from LLM model training to maximum-security confidential computing environments. You will partner with internal application teams to understand their requirements, co-design operating system features and datacenter infrastructure to meet your needs, and look ahead at emerging technologies to incorporate them into our services.
In this role you will be responsible for developing, debugging and maintaining an in-house virtualized infrastructure platform, and evaluating and integrating cutting edge compute hardware:
- At least 5+ years and Bachelor’s Degree in Computer Science, or equivalent related experience.
- 5+ years of experience in virtualization, specifically with KVM and QEMU.
- Strong Linux development background, including kernel-level development and tuning for high-performance GPU and networking workloads.
- Proficiency in high-speed networking, particularly RDMA (e.g., InfiniBand, RoCE), and network performance optimization in virtualized settings
- Knowledge of advanced virtualization concepts, including nested virtualization, VM live migration, and NUMA optimization
- Proven distributed systems and operating systems knowledge and experience applying it to build stable, performant, and secure execution environments
- Expertise in GPU development, including driver integration, configuration, and debugging, as well as hands-on experience with hypervisor GPU passthrough and SR-IOV
- Familiarity with CUDA libraries and GPU compute frameworks.
- Experience with CloudStack or similar cloud orchestration platforms.
- Familiarity with Docker, Kubernetes, and containerization technologies.
- Experience with distributed GPU workloads and optimizing GPU network performance in multi-node environments.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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