NVIDIA→
AI for Chip Design Intern - Summer 2026 at NVIDIA · US
InternshipOn-siteFull-timeUS, CA, Santa Clara$42k–$148k/yr
Skills
pythonlarge language modelsretrieval-augmented generationdata structuresalgorithmsanalytical skills
Job Description
Summary: NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. 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.
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
Required Qualifications:
- Pursuing BS or MS in Electrical Engineering, Computer Science/Engineering, or a related subject area
- Proficiency in rapid prototyping using languages like Python, with strong foundational knowledge of data structures, algorithms, and software engineering principles
- Familiarity with large language models, advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases and agentic frameworks
- Strong analytical, communication, and interpersonal skills, with a proven track record 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
Preferred Qualifications:
- Proficiency in rapid prototyping using languages like Python
Required Skills: Python, Large language models, Retrieval-Augmented Generation
Important Skills: Data structures, Algorithms
Nice-to-Have Skills: Analytical skills
Internship Start Date: Start in 2026 Summer
Benefits: Intern benefits
Benefits
Intern benefits