Summary
Jerrick Liu is a Senior Machine Learning Engineer based in the San Francisco Bay Area with eight years of experience building high-performance ML systems and GPU-accelerated kernels. He has shipped low-level deep learning optimizations at NVIDIA (including integrating Flash Attention into cuDNN), contributed to production ML infrastructure at Google Cloud Vertex AI, and is currently advancing humanoid robotics at Tesla. Comfortable across CUDA, PyTorch, C++, and distributed RL stacks, he blends research-driven experimentation with production-grade performance engineering. His background includes applied reinforcement learning and multimodal signal processing for the Air Force, reflecting a knack for turning complex sensor and language inputs into scalable learning pipelines. Notably, he moves seamlessly between writing fast GPU kernels and designing RL environments, making him effective across both systems and algorithmic layers.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Illinois Urbana-Champaign
High School Diploma, High School Diploma at Centerville High School
English, Chinese, Spanish