System Software Engineer - RAG

NVIDIA's technology is at the heart of the AI revolution, touching people across the planet by powering everything from self-driving cars, robotics, co-pilots and more. Join us at the forefront of technological advancement in intelligent assistants and information retrieval. ​What Is Retrieval-Augmented Generation, aka RAG? Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.

NVIDIA is looking for a System Software Engineer - RAG to develop pipelines for indexing and querying multi-modal content. We are looking for someone with a passion for working with the world's most complicated problems in Generative AI, LLM, MLLM, and RAG spaces using our innovative hardware and software platforms. You will develop tools for building powerful, flexible, multi-modal retrievers and agents driven by Large Language Models(LLM) thereby improving the experience of millions ...