About the role#
NVIDIA is looking for a PhD research intern to join the Generalist Embodied Agent Research (GEAR) group. The team focuses on building foundation models and systems for humanoid robots. You will contribute to projects that aim to help robots learn and master complex skills in both virtual and physical environments. Your work will influence research projects and product roadmaps.
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 physical simulation and on actual robot hardware.
- Collaborate with research and engineering teams to move research into products and services.
What you'll need#
- 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, while C++ and CUDA skills are a plus.
- Experience with large-scale machine learning systems and computer infrastructure.
- Hands-on training experience and publications in areas such as LLMs, vision-language models, video generative models, diffusion models, or action-based transformers.
- Hands-on training experience and publications in robot learning, including reinforcement learning, imitation learning, or classical control methods.
- Understanding of robot kinematics, dynamics, and sensors.
- Knowledge of control methods such as PID, MPC, and whole body control.
- Familiarity with physics simulation frameworks like Mujoco and the Isaac suite.
- Ability to safely operate robot hardware, lab equipment, and tools.
Location & details#
- This position is based in Santa Clara, California, with both remote and on-site work options.
- This is a full-time, paid internship with a pay range of 38 USD to 94 USD per hour, depending on location, degree, and experience.
- The role is offered on a rolling basis.
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.
