About the role#
The Data-Driven AI for Robotics group is looking for PhD interns to work on learning embodied skills from human data. You will focus on systems that capture, understand, and reproduce complex human motion for both humanoid robots and digital characters. The work spans the full stack, from video-based motion reconstruction to training physically grounded controllers.
What you'll do#
- Create AI algorithms that turn human data into motion and interaction skills.
- Build training and inference pipelines for motion reconstruction, generation, and retargeting.
- Develop methods to transfer human skills to humanoid robots for loco-manipulation and dexterous tasks.
- Work closely with your mentors and collaborate across research and product teams.
- Publish your findings at major computer vision, machine learning, graphics, and robotics conferences.
What you'll need#
- Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field.
- Strong engineering skills in rapid prototyping and building simulation or model-training frameworks.
- Experience working with large-scale AI systems and compute infrastructure.
- A research track record with at least one publication at a leading conference.
- Proficiency in using coding agents to speed up research and experimentation.
- Background in areas such as character animation, human motion modeling, reinforcement learning, imitation learning, or differentiable physics simulation.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Status: Full-time, paid internship.
- Note: This role is on-site.
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.
