Senior HPC and AI Network Software Architect
Design and evolve scalable software architectures for distributed AI training and inference, focusing on communication efficiency, runtime performance, and system-level integration across GPUs, DPUs, and interconnects. Develop and optimize libraries like NCCL, UCX, and UCC for frontier AI workloads, collaborating with AI framework teams and hardware engineers. Drive innovation in low-latency, high-throughput systems for large-scale AI and HPC infrastructure.