About the role#
NVIDIA is looking for PhD students to join the Learning and Perception research team. You will focus on embodied and agentic AI, covering areas like perception, agentic reasoning, multi-modal learning, and continual learning. Projects are matched to your expertise, and you will work with mentors to develop research that aims for publication at top computer vision and machine learning venues.
What you'll do#
- Research, design, and implement novel methods for embodied and agentic AI.
- Collaborate with your mentor and the broader research team to take ideas from hypothesis to experimentation.
- Work with product and engineering groups to move research into real-world applications.
- Prototype and iterate on ideas using current hardware and infrastructure.
What you'll need#
- Current enrollment in a PhD program for Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong understanding of AI theory and practice, specifically in computer vision, LLMs, and agents.
- Proficiency in programming with Python or C++.
- Experience with machine learning frameworks like PyTorch.
- A documented research track record.
- Clear communication skills.
- Knowledge of parallel programming, such as CUDA, is helpful.
Location & details#
- Term: Summer 2027.
- Location: Santa Clara, California, or remote within the United States.
- Status: Full-time internship.
- Compensation: 38 USD to 94 USD per hour, depending on location, experience, and education level.
- Benefits: Intern benefits package included.
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.
