Zixuan Jiang

Zixuan Jiang possesses a strong background in research and software engineering, with experience at leading technology companies such as Google DeepMind, Microsoft, and Google. As a Student Researcher at Google DeepMind, Zixuan focused on chip placement using reinforcement learning. A Research Intern at Microsoft, Zixuan worked on ONNX Runtime for training. Currently, Zixuan serves as a Software Engineer at Google, specializing in horizontal scaling of machine learning systems and contributing to core ML and the XLA compiler. Previous roles include a Software Engineer Intern at Google, where Zixuan enhanced the efficiency of a recommender system and worked on platform-aware machine learning in the TPU Team. Educational qualifications include a Bachelor of Engineering in Electronic Information Engineering from Zhejiang University and a PhD in Electrical and Computer Engineering from The University of Texas at Austin.