PhD Research Intern, Embodied and Agentic AI - 2027
AI in this role
NVIDIA is searching for several interns to join the Learning and Perception research team for an internship in the areas of embodied and agentic AI, such as perception, agentic reasoning, multi-modal and continual learning, AI scientists, and so on. We are passionate about research that pushes boundaries but also has impact in the real world. You will work within an amazing and collaborative research team that has a long history of publishing the results of internship projects at top venues in computer vision and machine learning. We have many experienced mentors in the team, and our interns often choose to return for another internship. We carefully craft internship projects such that they match the interns' expertise.
What you'll be doing:
- Research, design, and implement novel embodied and agentic AI methods.
- Work collaboratively with your mentor and a broader team of world-class researchers to develop your ideas from early hypothesis through rigorous experimentation.
- Partner with product and engineering groups to transfer research breakthroughs into real-world applications
- Rapidly prototype and iterate on ideas using state-of-the-art hardware and infrastructure.
What we need to see:
- Must be pursuing a PhD in Computer Science/Engineering, Electrical Engineering, etc.
- Excellent knowledge of theory and practice of AI, in particular in computer vision, LLMs, and agents.
- Excellent programming skills in some rapid prototyping environment such as Python, C++.
- Knowledge of common machine learning frameworks, such as PyTorch.
- Promising research track record.
- Excellent communications skills.
Ways to stand out from the crowd:
- Knowledge in parallel programming (e.g., CUDA) is a plus.
NVIDIA is widely considered to be one of the technology world’s most desirable employers with competitive salaries and a generous benefits package. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until October 6, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.How we rate this
PhD Research Intern, Embodied and Agentic AI - 2027 at NVIDIA rates 89 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Walk me through how you've used PyTorch in your day-to-day work.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Computer Vision and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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