NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

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We are looking for an outstanding Agentic AI intern to build groundbreaking multi-modal agentic AI Solutions for NVIDIA software stack. As a member of the team, you will develop new agentic AI solutions to accelerate software design, code generation, performance improvement, testing, and every component in SDLC. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.

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What you'll be doing:

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• Collaborate with internal engineering teams to identify high-impact opportunities for applying agentic AI technologies.
• Lead the design and development of agentic AI solutions that address challenges across the software development lifecycle (SDLC).
• Develop and maintain agentic AI benchmarks to evaluate performance across diverse SDLC use cases.

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What we need to see:

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• You are pursuing a Master or PhD in CS or related field with a focus on AI and LLM.
• Must have knowledge in agentic AI, LLMs, reinforcement learning, and/or programming languages/compilers
• Experience with AI systems development; exposure to building foundational models, agents, or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks.
• Strong C/C++ and Python programming skills.
• Outstanding problem-solving abilities and effective communication skills.

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Ways to Stand Out from the Crowd

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• Hands-on experience with multimodal agentic AI frameworks.
• Deep expertise in building, training, and fine-tuning foundation models.
• Experience designing, executing, and analyzing AI model evaluation and benchmarking.

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