Maximilian Golub

Maximilian Golub is a senior ML engineer at NVIDIA, focusing on advancing speculative decoding algorithms for generative AI through thoughtful co-design. He has previously contributed to research on MoE scaling, structured sparsity, and the MXFP quantization formats. Maximilian holds a Master of Applied Science in Computer Engineering from the University of British Columbia, and a bachelor’s degree in Electrical Engineering from the University of Washington.
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Posts by Maximilian Golub

Developer Tools & Techniques Sep 02, 2026

Co-Designing AI Models Using Speculative Decoding for Faster LLM Inference

This post is the third in a series on AI model co-design. It explores how to accelerate LLM inference while maintaining accuracy using speculative decoding and... 15 MIN READ