Senior Applied LLM Engineer, AI – Chip Design

NVIDIA, a pioneer in accelerated computing for over 25 years, 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 AI and chip design, where you'll be developing cutting-edge LLM-powered solutions that transform the semiconductor industry. The position combines research innovation with practical engineering, focusing on developing and optimizing retrieval and generation algorithms for enterprise data.

As part of NVIDIA's applied LLM chip design team, you'll be working on advanced AI applications that directly impact the future of chip design. The role involves creating sophisticated engineering assistants and multi-modal dialogue systems, requiring expertise in large language models, RAG pipelines, and agentic frameworks. You'll be joining a dynamic, collaborative environment that encourages creativity and innovation.

The ideal candidate brings a strong academic background (Master's or PhD) in relevant fields, combined with 5+ years of industry experience. Technical proficiency in Python, C++, and modern AI technologies is essential. The role offers competitive compensation ($148,000-$276,000) plus equity, and the opportunity to work with some of the most forward-thinking professionals in the technology sector.

This position is perfect for someone who wants to be at the forefront of AI innovation, specifically in its application to chip design. You'll be part of a team that's not just using AI, but actively shaping how it transforms one of technology's most fundamental components. NVIDIA's commitment to fostering a diverse, inclusive workplace makes this an excellent opportunity for talented engineers looking to make a significant impact in the field.