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 and AI 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.
What you will be doing:
Lead Agentic AI solutions including sophisticated AI agents and fine tuning & integrating with enterprise production systems.
Play a key role in design, development, and deployment of AI applications using LLMs, internal and external Agentic frameworks, and other related technologies.
Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
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.
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 Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
Experience with fine-tuning large language models, building advanced multi-agent systems, RAG pipelines and vector databases.
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.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
