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PhD Research Intern, Generalist Embodied Agents Research - 2027

NVIDIA· Intern
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Hybrid (Remote / Santa Clara, CA)$38/hr - $94/hrinternPosted 1mo ago

About the role

Research internship in NVIDIA's Generalist Embodied Agent Research (GEAR) group focused on building humanoid robot foundation models and systems for embodied agents across virtual and physical worlds.

Responsibilities

  • Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents
  • Develop large-scale AI training and inference methods for foundation models
  • Optimize and deploy AI models in physical simulation and on robot hardware
  • Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services

Qualifications

  • Pursuing a PhD degree in Computer Science/Engineering, Electrical Engineering, etc.
  • Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a plus.
  • 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 model or robotics.
  • Multimodal Foundation Model: 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.
  • Robotics: Hands-on training experience and publications in robot learning (reinforcement learning, imitation learning, classical control methods, etc.), deep understanding of robot kinematics, dynamics, and sensors; ability to safely operate robot hardware, lab equipment, and tools; knowledge of control methods (PID, MPC, whole body control, etc); familiarity with physics simulation frameworks such as Mujoco and Isaac suite.

Skills

Required:PythonPyTorch
Nice to have:JaxTensorFlowC++CUDA

Benefits

  • Intern benefits
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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