Used Tools & Technologies
LLMRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Software Development @ 3
Python @ 6
Communication @ 3
GPU @ 3
Deep Learning @ 3
AI @ 3
Reinforcement Learning @ 3
Agentic AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
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.
Responsibilities
- 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.
Requirements
- Currently pursuing a Master or PhD in Computer Science or a related field with a focus on AI and large language models (LLMs).
- 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.
Ways to Stand Out from the Crowd
- 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.
Compensation & Benefits
- Internship hourly rate: 20 USD - 71 USD (standard pay based on position, location, year in school, degree, and experience).
- Eligible for NVIDIA intern benefits (link in original posting).
Additional Information
- Applications accepted at least until June 13, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.