PhD Research Intern: Humanoid Robots & Foundation Models

NVIDIA; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Competitive hourly pay

Job summary

NVIDIA in Santa Clara, CA is seeking an outstanding research intern to help build foundation models and systems for general-purpose humanoid robots within the GEAR group. You will join a collaborative team and contribute to multimodal ML, robot learning, and robotics simulation projects such as Mujoco and Isaac suite.

You will design AI algorithms, run large-scale training, optimize deployments on hardware, and collaborate with researchers and engineers to translate research into prototype

Qualifications

• Pursuing a PhD in Computer Science/Engineering, Electrical Engineering, or related field.
• Proficient in rapid prototyping and model training frameworks (PyTorch, Jax, TensorFlow). Python required; C/C++ and CUDA a plus.
• Experience with large-scale ML/AI systems and computer infrastructure.
• Hands-on experience 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 to bridge research and products.

Skills

Python

PyTorch

Jax

TensorFlow

Large-scale ML systems

Multimodal ML

Robot learning

Education

Pursuing PhD in CS/Engineering

Tools

CUDA

Mujoco

Isaac Sim

Job description

NVIDIA in Santa Clara, CA is seeking an outstanding research intern to help build foundation models and systems for general-purpose humanoid robots within the GEAR group. You will join a collaborative team and contribute to multimodal ML, robot learning, and robotics simulation projects such as Mujoco and Isaac suite.

You will design AI algorithms, run large-scale training, optimize deployments on hardware, and collaborate with researchers and engineers to translate research into prototype