Software Engineer - OS and System Services

The Apple Cloud System Software Team is looking for an exceptional software engineer to build and integrate software to orchestrate workloads across highly performant and energy efficient systems that will power the next generation of data centers. In this highly collaborative role, you will be at the center of multiple efforts to utilize hardware acceleration for machine learning and high performance computing workloads. You will be part of a team that builds and maintains system software such as runtime libraries, frameworks, and daemons that will power the next generations of data centers. You will partner with teams across Apple to adapt, tailor, and scale software on a novel compute platform and will help to build the foundation of our future cloud architecture. We are looking for someone with proven mastery building and managing scalable, resilient systems. You should have a strong mix of education and practical experience with a real passion for diving head first into challenging problems.

Description

We are seeking a skilled Software Engineer to join our System Software Team focused on optimizing and maintaining the core infrastructure of our data center environments. You will work on enhancing operating system performance, scalability, and reliability, ensuring seamless operations for large-scale distributed systems. KEY RESPONSIBILITIES: - Develop, maintain, and optimize OS-level components for data center infrastructure. - Collaborate with cross-functional teams to improve performance, security, and resource efficiency across distributed systems. - Troubleshoot and resolve low-level OS issues, networking bottlenecks, and hardware-software integration challenges. - Contribute to the development of automation, monitoring, and diagnostic tools to improve system reliability. - Participate in code reviews, design discussions, and architectural decisions related to OS-level services. - Stay up to date with emerging OS technologies, virtualization, and containerization trends in data center environments. - Develop and optimize accelerator passthrough, sharing, and virtualization mechanisms for AI/ML workloads. - Improve hypervisor-level support (KVM, Xen, VMware, QEMU) for virtualized AI accelerators. - Enhance performance, isolation, and resource allocation for accelerators in virtualized environments. If you’re passionate about low-level system engineering and optimizing OS performance at scale, we’d love to hear from you!

Minimum Qualifications

Masters in Computer Science, Computer Engineering, or 2+ years of equivalent industry experience. Proficiency in one of the following: C/C++, Obj-C or Swift. Strong knowledge of OS architecture, and low-level system components. Passion for software architecture, APIs, and high performance extensible software.

Preferred Qualifications

Knowledge of container technologies (Docker, Kubernetes) and AI workload orchestration. Knowledge of distributed systems, cloud computing, and large-scale data center infrastructure is a plus. Knowledge of high-performance computing (HPC) and real-time OS optimizations. Experience with Swift, Objective-C and Apple development tools. Experience with AI accelerators (GPUs, TPUs, ASICs), high-performance computing, or distributed systems. Familiarity with hypervisors (KVM, Xen, VMware), QEMU, and host/guest OS interactions. Experience with VFIO, SR-IOV, mdev, or other accelerator virtualization techniques. Excellent communication skills. Creative, collaborative, and product-focused.