GenAI Algorithms Intern – Model Optimization for Inference

We are seeking a GenAI Algorithms Intern to help optimize state-of-the-art generative AI models like LLMs, VLMs, multimodal and diffusion models. In this role, you will design, implement, and productionize model optimization algorithms for inference and deployment on NVIDIA’s latest hardware platforms. The focus is on ease of use, compute and memory efficiency, and achieving the best accuracy–performance tradeoffs through software–hardware co-design.

Your work will span multiple layers of the AI software stack—ranging from algorithm design to integration—within NVIDIA’s ecosystem (Model Optimizer, NeMo/Megatron, TensorRT-LLM) and open-source frameworks (PyTorch, Hugging Face, vLLM, SGLang). You may also dive deeper into GPU-level optimization, including custom kernel development with CUDA and Triton.