About the role#
Join our team to help build the next generation of large language models, multimodal foundation models, and agentic AI systems. You will work on research, design, and development of models that can understand, reason, plan, and interact with complex environments to solve real-world tasks.
What you'll do#
- Research and develop foundation models across text, vision, speech, audio, and video.
- Train, fine-tune, and evaluate models using techniques like supervised fine-tuning, instruction tuning, preference optimization, and reinforcement learning.
- Develop capabilities for reasoning, planning, tool use, and multi-step task completion.
- Build and curate high-quality datasets and evaluation benchmarks.
- Prototype new model architectures, algorithms, and training strategies.
- Collaborate with researchers and engineers to scale your ideas.
What you'll need#
- Currently pursuing an MS or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, or a related field.
- Strong knowledge of deep learning techniques and modern architectures like Transformers.
- Experience with large language models, vision-language models, or multimodal models.
- Proficiency in Python and experience with frameworks such as PyTorch, NeMo, Megatron-LM, or TensorFlow.
- Familiarity with data processing, experiment tracking, and model evaluation workflows.
- Ability to rapidly prototype and evaluate new ideas.
- An emphasis on reinforcement learning for agentic reasoning, planning, tool use, and coding is preferred.
Location & details#
- Location: Santa Clara, California
- Term: Summer 2027
- Modality: On-site
- Full-time internship
- Paid position
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
