About the role#
NVIDIA is looking for a research intern to join the Generalist Embodied Agent Research (GEAR) group. The team builds foundation models and systems for humanoid robots. You will work on projects that help autonomous agents explore and master skills in both virtual and physical environments. This role involves contributing to research that influences product roadmaps and future technologies.
What you'll do#
- Design and implement AI algorithms and models for general-purpose humanoid robots.
- Develop training and inference methods for large-scale foundation models.
- Optimize and deploy AI models in physics simulations and on actual robot hardware.
- Collaborate with research and engineering teams to help move research into products and services.
What you'll need#
- You are currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong engineering skills in rapid prototyping and model training frameworks like PyTorch, Jax, or TensorFlow.
- Proficiency in Python is required. Experience with C++ and CUDA is a plus.
- Experience working with large-scale machine learning systems and computer infrastructure.
- Hands-on training experience and publications in at least one area: multimodal foundation models (LLMs, vision-language models, video generative models, diffusion models, action-based transformers) or robotics (reinforcement learning, imitation learning, classical control).
- Understanding of robot kinematics, dynamics, and sensors.
- Ability to safely operate robot hardware and lab equipment.
- Knowledge of control methods such as PID, MPC, or whole body control.
- Familiarity with physics simulation frameworks like Mujoco or the Isaac suite.
Location & details#
- This position is based in Santa Clara, California, with remote options available.
- This is a full-time, paid internship.
- The hourly rate ranges from 38 USD to 94 USD depending on your location, year in school, degree, and experience.
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.


