Nvidia Senior Applied LLM Engineer AI – Chip Design 

United States, California 

76497814

What you will be doing:

• Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications that transform chip design.

• Drive impact by designing and deploying LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.

• Make a difference by leveraging AI technologies to solve complex problems in chip design, driving innovation and meaningful impact across the industry.

• Join a dynamic, collaborative team where creativity and fresh ideas are encouraged.

• Stay ahead by engaging with the latest advancements in machine learning and AI to create state-of-the-art solutions.

• Lead with purpose and maintain high-quality engineering practices that inspire others to achieve excellence.

What we need to see:

• Master’s or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).

• 5+ years of proven industry experience

• Proficiency in rapid prototyping using languages like Python and C++, with strong foundational knowledge of data structures, algorithms, and software engineering principles.

• Familiarity with training and fine-tuning large language models, advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases and agentic frameworks.

• Strong analytical, communication, and interpersonal skills, with a proven ability to thrive in dynamic, product-focused, and distributed teams.

• A proactive approach to problem-solving and a willingness to acquire new skills and knowledge as needed to achieve results.