Solutions Architect - AI Technology Center, Scientific Applications

Lead technical engagements with university and industry researchers to analyze HPC scientific applications, identify GPU-CPU bottlenecks, and accelerate production-ready research pipelines using NVIDIA CUDA libraries. Serve as a trusted advisor, promoting collaborative results by publishing co-authored breakthroughs and presenting at venues such as GTC, while guiding transitions from experimental code to large-scale HPC deployments.