NVIDIA is searching for an outstanding research intern to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. Everything that moves will eventually be autonomous. Our mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world.
You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. One of our team’s most recent milestones includes Project GR00T, a foundation model for humanoid robots. Your contributions will have a significant impact on our moonshot research projects and product roadmaps.
What you will be doing:
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Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents;
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Develop large-scale AI training and inference methods for foundation models;
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Optimize and deploy AI models in physical simulation and on robot hardware;
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Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.
What we need to see:
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Pursuing a PhD degree in Computer Science/Engineering, Electrical Engineering, etc.
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Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a plus.
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Excellent skills in working with large-scale machine learning/AI systems and computer infrastructure.
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Experience with at least one of the following areas: multimodal foundation model or robotics.
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Multimodal Foundation Model:
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Hands-on training experience and publications in at least one of the following models: LLMs, vision-language models, video generative models, diffusion models, and action-based transformers.
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Robotics:
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Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc.
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Deep understanding of robot kinematics, dynamics, and sensors;
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Ability to safely operate robot hardware, lab equipment, and tools;
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Knowledge of control methods, such as PID, MPC, whole body control, etc;
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Familiarity with physics simulation frameworks such as Mujoco and Isaac suite.
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NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and embodied agents!
The hourly rate for our interns is 30 USD - 90 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse 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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
