Ph.D. Research Robotics Intern

Nvidia

Confirmed live yesterday High trust

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Work type
On-site
Location
Santa Clara, CA
Posted
23 days ago
Freshness
Confirmed live yesterday

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Similar $205k
$142k most similar roles pay here $277k

This listing doesn't post a salary. Most similar roles pay $155,000–$254,750.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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TL;DR · Ph.D. Research Robotics Intern

NVIDIA 2027 Internships: Ph.D. Research Robotics interns join the robotics team to define research projects and design novel robotics methods alongside experts. The role involves collaborating with internal product teams to transfer research into prototypes, patents, products, or original publications. Candidates must be pursuing a Ph.D. in Computer Science, Electrical Engineering, or related fields. Required technical skills include Python, C++, CUDA, Deep Learning Frameworks like PyTorch, JAX, and TensorFlow, and Physics Simulation Frameworks such as Isaac Sim or MuJoCo. The work focuses on solving complex problems in robotics including manipulation, control, humanoid locomotion, kinematics, perception, vision-language-action models, and motion planning. Candidates should possess a strong research background with publications at top conferences and may have experience in large-scale model training, simulation, synthetic data generation, or reinforcement learning to advance the field of robotics.

What you'll do

  • Define research projects in collaboration with robotics experts.
  • Design and implement novel robotics methods.
  • Transfer research findings to product groups to enable new products.
  • Develop prototypes and file for patents based on original research.
  • Publish original research results in relevant academic venues.
  • Implement solutions using Python, C++, CUDA, and deep learning frameworks.
  • Utilize physics simulation frameworks like Isaac Sim or MuJoCo for robotics tasks.

What we're looking for

  • Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field.
  • Resume must clearly indicate the anticipated graduation date (month and year).
  • Proficiency in Python, C++, CUDA, Deep Learning Frameworks, and Physics Simulation Frameworks is required.
  • Strong background in research with publications at top conferences is required.
  • Excellent communication and collaboration skills are required.
  • Experience with large-scale model training is a plus (preferred).
  • Research experience in specific areas such as manipulation, locomotion, perception, or motion planning may be required depending on the internship.

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