PhD Research Intern, Autonomous Systems and Physical AI Research - 2027

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

Research and develop new autonomous vehicles, robotics, and physical AI techniques with NVIDIA’s Autonomous Systems and Physical AI Research (ASPIRE) group. Work on training and safety assurances for closed-loop autonomy, navigation in new environments, and reasoning under uncertainty. Conduct original research, publish results, collaborate with product teams and external researchers, and transfer promising technology to relevant product groups.

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FursaFursa
NVIDIA
NVIDIA
6 days ago

PhD Research Intern, Autonomous Systems and Physical AI Research - 2027

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Job Summary

Research and develop new autonomous vehicles, robotics, and physical AI techniques with NVIDIA’s Autonomous Systems and Physical AI Research (ASPIRE) group. Work on training and safety assurances for closed-loop autonomy, navigation in new environments, and reasoning under uncertainty. Conduct original research, publish results, collaborate with product teams and external researchers, and transfer promising technology to relevant product groups.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Design and implement cutting-edge techniques for autonomous vehicles, robotics, and physical AI.
  • •Conduct original research and publish results.
  • •Collaborate with research colleagues, internal product teams, and external researchers.
  • •Transfer developed technology to relevant product groups.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Currently pursuing a PhD in Robotics, Computer Science, Computer Engineering, or a related field.
  • •Relevant research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems.
  • •Strong knowledge of the theory and practice of vehicle or robot autonomy (or a related area) with strong interest in applying it to autonomous systems.
  • •A track record of research excellence demonstrated by publications (e.g., RSS, ICRA, CoRL, IJRR, NeurIPS, ICML, CVPR, TAC) and other research artifacts such as open-source software.
  • •Exceptional Python skills; experience with C++ and parallel programming (e.g., CUDA) and machine learning frameworks such as PyTorch are a plus.
Education:PhD / Doctorate in Robotics, Computer Science, Computer Engineering, or a related field
Skills:CommunicationInterpersonal skillsCollaborationResearch excellenceIntellectual curiosity
Tech Stack:PythonC++CUDAPyTorch

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
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