PhD Research Intern, Generative AI for Physical AI - 2027

NVIDIA
Santa Clara
Workplace: OnsiteInternshipUSD 38 - 94 hourlyFunction: Research & Scientific (R&D)Education: phdSkills: ["Research","Collaboration","Communication","Publication"]

Conduct PhD-level research to advance Physical AI world models and multimodal generative AI. Build algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning, then train and evaluate large-scale models using video, image, language, and robotics or autonomous-driving data. Partner with researchers and engineers across AI, robotics, simulation, and graphics teams, publish at top conferences, and help transfer innovations into NVIDIA products.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
2 hours ago

PhD Research Intern, Generative AI for Physical AI - 2027

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Conduct PhD-level research to advance Physical AI world models and multimodal generative AI. Build algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning, then train and evaluate large-scale models using video, image, language, and robotics or autonomous-driving data. Partner with researchers and engineers across AI, robotics, simulation, and graphics teams, publish at top conferences, and help transfer innovations into NVIDIA products.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.
  • •Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.
  • •Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.
  • •Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.
  • •Publish research at top conferences and transfer innovations into NVIDIA products.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Currently pursuing a PhD in CS, EE, Robotics, or a related field.
  • •Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.
  • •Prior publication record and research experience.
  • •Strong Python and PyTorch skills.
  • •Experience with large-scale foundation model training or research in video models, VLMs, world models, robotics, or autonomous driving is a plus.
Experience:ResearchRoboticsAutonomous drivingMultimodal learningFoundation modelsReinforcement learning
Education:PhD / Doctorate in CS, EE, Robotics
Skills:ResearchCollaborationCommunicationPublication
Tech Stack:PythonPyTorch

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor