Summary
Jade Nie is a senior ML systems engineer and researcher with 11 years of experience building and scaling GPU-backed infrastructure for large-scale model training and inference. After a PhD in Electrical and Computer Engineering from Princeton and an early foundation at Tsinghua, Jade drove GPU efficiency and model-system co-design at Meta—leading innovations like GEM for ads foundation models and power-neutral upscaling that were cited in company earnings as revenue-driving initiatives. Currently a Member of Technical Staff at OpenAI focused on LLM inference, Jade blends deep research rigour with production-first engineering, shipping kernel fusion, memory optimization, quantization, and parallelism improvements at fleet scale. Known for championing bottom-up, product-driven innovation, Jade hires and mentors ML/system generalists and specialists across Menlo Park and Bellevue. A tinkerer at heart (“i build stuff elsewhere”), Jade bridges cutting-edge research and pragmatic engineering to make large models more efficient and deployable.
11 years of coding experience
6 years of employment as a software developer
Bachelor's Degree Electronic Engineering, Bachelor's Degree Electronic Engineering at Tsinghua University
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at Princeton University