PhD Research Intern: Humanoid Robot AI Foundations

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 52,000 - 129,000

Full time

2 days ago
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Job summary

NVIDIA Corporation in Santa Clara, CA seeks a research intern to build foundational AI for humanoid robots and embodied agents within the Generalist Embodied Agent Research (GEAR) group. You will design, train, and deploy multimodal models, and collaborate with cross-functional teams to move research toward products and services.

Ideal candidates are pursuing a PhD in CS/engineering, with strong Python, PyTorch/Jax/TensorFlow experience, and proficiency in C++/CUDA a plus.

Qualifications

  • Pursuing a PhD in Computer Science/Engineering, Electrical Engineering, or related fields.
  • Outstanding engineering skills in rapid prototyping and model training with PyTorch/Jax/TensorFlow.
  • Python required; C++ and CUDA proficiency is a plus.
  • Experience with large-scale ML/AI systems and robotics.
  • Hands-on experience or publications in multimodal foundation models or robotics.

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 NVIDIA to transfer research to products and services.

Skills

Python
PyTorch
Jax
TensorFlow
C++
CUDA

Education

PhD student in Computer Science/Engineering

Job description

NVIDIA Corporation in Santa Clara, CA seeks a research intern to build foundational AI for humanoid robots and embodied agents within the Generalist Embodied Agent Research (GEAR) group. You will design, train, and deploy multimodal models, and collaborate with cross-functional teams to move research toward products and services.

Ideal candidates are pursuing a PhD in CS/engineering, with strong Python, PyTorch/Jax/TensorFlow experience, and proficiency in C++/CUDA a plus.

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