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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
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PhD Research Intern, Generalist Embodied Agents Research - 2027 is a research internship within the Generalist Embodied Agent Research group. The intern will design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents. Daily responsibilities include developing large-scale AI training and inference methods for foundation models, optimizing and deploying models in physical simulation and on robot hardware, and collaborating with engineering teams to transfer research to products. Required skills include Python, PyTorch, Jax, or Tensorflow, with C++ and CUDA as pluses. Candidates need experience in multimodal foundation models, such as LLMs or diffusion models, or robotics, including reinforcement learning and classical control. The work involves solving problems in robot kinematics, dynamics, and physics simulation frameworks like Mujoco and Isaac suite.
Design and implement novel AI algorithms and models for general-purpose humanoid robots.
Develop large-scale AI training and inference methods for foundation models.
Optimize and deploy AI models in physical simulation and on robot hardware.
Transfer research findings into production-ready products and services.
Train multimodal foundation models including LLMs, vision-language models, and diffusion models.
Apply reinforcement learning and imitation learning techniques to robot learning tasks.
Operate robot hardware, lab equipment, and tools safely.
Utilize physics simulation frameworks such as Mujoco and Isaac suite.
What we're looking for
Pursuing a PhD degree in Computer Science, Engineering, Electrical Engineering, or a related field.
Outstanding engineering skills in rapid prototyping and model training frameworks like PyTorch, Jax, or TensorFlow.
Proficiency in Python is required.
Proficiency in C++ and CUDA (preferred).
Excellent skills in working with large-scale machine learning/AI systems and computer infrastructure.
Experience with at least one of the following areas: multimodal foundation models or robotics.
Hands-on training experience and publications in LLMs, vision-language models, video generative models, diffusion models, or action-based transformers.
Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, or classical control methods.
Python
C++
CUDA
PyTorch
JAX
ROS2
Isaac Sim
Isaac Lab
MuJoCo
Reinforcement Learning
Imitation Learning
Computer Vision
Sim-to-Real
Robot Foundation Models
Warp
Deep Learning
Model Training
VLAs
Robotics
Autonomous Vehicles
Physical AI
Deep Learning
Reinforcement Learning
Python
PyTorch
C++
CUDA
Parallel Programming
Simulation
Embodied AI
Machine Learning
Verification and Validation
Closed-loop Training
Generative AI
PyTorch
Python
Multimodal Learning
Reinforcement Learning
Computer Vision
Distributed Training
World Models
Robotics
Simulation
Video Understanding
VLMs
Foundation Models
Action-conditioned Simulation
Policy Learning
Computer Vision
Deep Learning
Robotics
Reinforcement Learning
Python
PyTorch
C++
CUDA
3D Computer Vision
Real-to-Sim-to-Real
Tactile Sensing
Robotic Manipulation