PhD Research Intern in Embodied Agents Research

2 weeks ago

Santa Clara, California, United States NVIDIA Full time
Join NVIDIA's GEAR Group as a Research Intern

NVIDIA is seeking a highly motivated research intern to contribute to the development of general-purpose embodied agents and humanoid robot foundation models in the Generalist Embodied Agent Research (GEAR) group.

Key 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
Requirements:
  • 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.)
  • Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure
  • Experience with at least one of the following areas: multimodal foundation model or robotics
Preferred Qualifications:
  • 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
  • Hands-on training experience and publications in robot learning, such as 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, such as PID, MPC, whole body control, etc.
  • Familiarity with physics simulation frameworks such as Mujoco and Isaac suite
What We Offer:
  • Competitive hourly rate: $30-$90 USD
  • Intern benefits
  • Opportunity to work with a collaborative research team
  • Chance to contribute to influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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.

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