Deep Learning Model and System Optimization Engineering Intern – 2027

Our team develops GPU-accelerated software for deep learning inference. We work across model architectures, algorithms, numerical representations, inference systems, and GPU architectures to continuously improve the performance and deployment capabilities of large language models on NVIDIA GPUs. Our work contributes to inference frameworks such as TensorRT-LLM and helps bring state-of-the-art models to production efficiently. We are looking for outstanding interns who are passionate about large language model inference, low-precision computing, GPU performance optimization, and hardware-software co-design.