Principal Distributed Systems Software Engineer, Collectives

THE ROLE: As a core member of the Collectives and Network Performance team, you will play a pivotal role in defining and delivering industry-leading AI pre-training and distributed inference performance on AMD GPUs. Your expertise will be critical in optimizing collective communication libraries, scale-up and scale-out networking software, and training/inference performance across multi-GPU and multi-node systems. You will engage with internal hardware, GPU library, compiler, runtime and ROCm teams as well as open-source maintainers to ensure seamless integration of optimizations, applying advanced engineering principles to drive continuous improvement across multiple generations of AMD GPUs and a wide range of state-of-the-art AI models.

THE PERSON: Seeking an industry-leading expert in collective communication and network performance, with advanced technical and analytical skills in Linux environments and deep C++ expertise. The ideal candidate will excel in providing technical leadership, guiding teams, and driving projects and initiatives independently. You will define goals, scope, and own development efforts while collaborating effectively within a high-performing team. You have deep knowledge of network, NIC and GPU hardware architecture, hands-on experience mapping model architectures to low-level software and hardware, and a strong grasp of current trends in distributed training and inference at scale.

KEY RESPONSIBILITIES:

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