Senior Applied LLM Engineer, AI – Chip Design

Details

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years! It’s an outstanding legacy of innovation that’s fueled by phenomenal technology—and outstanding people! As part of Nvidia’s applied LLM chip design team, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of chip design at Nvidia and throughout the industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. If you’re passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.

Responsibilities

• 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.

Requirements

• 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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our applied AI engineering team and help us build the future of chip design.