GenAI Algorithms Intern – Model Optimization for Inference

NVIDIA is at the forefront of the generative AI revolution! The Algorithmic Model Optimization Team focuses on optimizing generative AI models such as large language models (LLMs), vision-language models (VLMs), and diffusion models for maximal inference efficiency using techniques ranging from quantization, speculative decoding, sparsity, distillation, pruning to neural architecture search, and automated deployment strategies.

Our work includes conducting applied research to improve model efficiency as well as developing an innovative open-source model optimization platform ( NVIDIA Model Optimizer). Our software is used both internally across NVIDIA and externally by research and engineering teams alike developing best-in-class AI models.