Daisy Chu

Daisy Chu is a senior systems software engineer on the NVIDIA TensorRT team, specializing in multi-device architectures. Her work centers on building production-grade inference systems, with an emphasis on performance optimization, correctness validation, and scalable execution across single- and multi-GPU environments. Daisy is instrumental in enabling efficient multi-GPU inference for large language and multimodal models, ensuring high scalability and robustness. She holds a master’s degree in Computer Science from the University of Illinois Urbana-Champaign.