Senior HPC and AI Network Software Architect
This role involves designing and evolving scalable software systems for distributed AI training and inference, with a focus on communication efficiency, runtime performance, and hardware-software co-design. The architect will work on low-level communication libraries like NCCL, UCX, and UCC, integrate with AI frameworks such as PyTorch and TensorFlow, and collaborate across hardware and software teams to optimize large-scale AI workloads. Innovation in cluster-scale systems, interconnects, and distributed runtime capabilities is central to the position.