JinZe Li

AI Technology Leader | Director of AI Solutions & Platforms | Driving GPU-Accelerated Deep Learning Innovation

Los Angeles Metropolitan Area

About

Experience

  • Director / Principal Engineer, AI Platforms & Solutions at NVIDIA
    2020 - 2025 · 5 yrs

    Returning to NVIDIA as Technical Lead for AI Platforms and Solutions Responsible for the technical planning of AI training and inference platforms, supporting AI applications in data centers and enterprises Driven deep integration of GPUs, AI software stacks, and industry solutions Collaborated with global customers, cloud service providers, and partners to support their AI strategies and technology implementation Mentored cross-team engineers to drive the large scale deployment of cutting-edge AI technologies

  • Technical Lead, Machine Learning & AI Systems at Google
    2017 - 2020 · 3 yrs

  • NVIDIA (8 yrs 1 mo)
    • Senior Software Engineer, High Performance Computing
      2012 - 2017 · 5 yrs

      Focusing on GPU applications in high-performance computing (HPC) and large-scale data processing scenarios Responsible for migrating traditional CPU computing tasks to GPU platforms to achieve significant performance improvements Initiated participation in early stage experiments and optimizations of deep learning and neural network computing on GPUs Collaborating with research institutions and universities to explore the application potential of GPUs in machine learning

    • Software Engineer, GPU Computing
      2009 - 2012 · 3 yrs

      Engaged in software development related to GPU computing and parallel computing, participating in the development of CUDA programming models and GPU acceleration algorithms, supporting collaboration between graphics processing and high performance computing (HPC) hardware and driver teams, conducting performance analysis and system level optimization, and providing GPU acceleration solutions for enterprise and research clients