PhD Research Intern, Robotics - Summer 2027

$0k - $0k • US, WA, Seattle

Posted 7d ago

Remote Work Policy

On-site

Categories

AI Research Engineer

About the job

NVIDIA's Seattle Robotics Lab is seeking PhD-candidate interns to contribute to cutting-edge research in robotics and AI. This role offers a unique opportunity to work at the intersection of academic research and industry impact, focusing on the full robotics stack from perception to foundation models. Interns will play a pivotal role in developing algorithms, integrating methods into real-world systems, and contributing to high-impact publications and code releases. The lab has a strong track record of influential research and has significantly impacted NVIDIA's robotics and simulation products.

Responsibilities

  • Develop algorithms, foundation models, and methods for robotic manipulation and loco-manipulation.
  • Integrate developed methods into real-world robotic systems, including various types of robot arms and hands.
  • Contribute to multi-person research projects requiring diverse skills across robotics and machine learning.
  • Engage with the academic community through publications, conferences, workshops, and code releases.
  • Develop AI agents to accelerate research and engineering, ensuring correctness, reproducibility, and security.

Requirements

  • Currently enrolled in a PhD program in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
  • Strong knowledge of both the theory and practice of robotics and AI, with an interest in real-world applications.
  • Demonstrated research track record with first-author publications in top robotics and AI conferences/journals.
  • Exceptional communication, collaboration, and interpersonal skills, with significant team experience.
  • Exceptional programming skills in Python.
  • Fluency in modern deep learning frameworks such as PyTorch or JAX.
  • Experience in AI coding and research agents, including validation of outputs.
  • Experience with robotics frameworks like ROS2 and physics simulation frameworks (e.g., Isaac Sim, MuJoCo).
  • Comfort working with simulation and real-world robotics complexities, including debugging hardware and software systems.

Benefits

  • Internship hourly rates based on position, location, year in school, degree, and experience.
  • Eligibility for Intern benefits.

About nvidia

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