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