Senior Applied LLM Engineer, AI – Chip Design

NVIDIA, the world leader in accelerated computing, is seeking a Senior Applied LLM Engineer to join their AI chip design team. This role represents a unique opportunity to work at the intersection of research, engineering, and product development, transforming innovative ideas into real-world solutions that redefine chip design.

The position involves developing cutting-edge LLM-powered solutions and optimization algorithms for enterprise data, including text, code, and images. You'll be working on advanced AI applications that directly impact chip design processes, creating multi-modal dialogue systems and engineering assistants that push the boundaries of what's possible in semiconductor development.

As part of NVIDIA's team, you'll have access to state-of-the-art technology and work alongside industry leaders in AI and accelerated computing. The role requires expertise in Python, C++, and deep learning, with a focus on large language models and Retrieval-Augmented Generation (RAG) pipelines.

The ideal candidate will bring 5+ years of industry experience, advanced degree credentials, and a passion for solving complex technical challenges. You'll be part of a dynamic, collaborative environment that values creativity and innovation, with the opportunity to make meaningful contributions to the future of chip design.

NVIDIA offers competitive compensation, including a base salary range of $148,000 to $287,500, plus equity and comprehensive benefits. Join a company that's been at the forefront of innovation for over 25 years and help shape the future of AI and chip design technology.