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NVIDIA

PhD Research Intern, Embodied and Agentic AI

NVIDIA

. Research, design, and implement novel embodied and agentic AI methods .

Posted 10/2/2026internshipRemote • California • United StatesEntry Level💰 $38 - $94 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI research and development, particularly in computer vision and large language models, with strong programming skills in Python and C++. Proven ability to collaborate effectively with research teams and communicate complex ideas clearly.

Highest-signal resume keywords
PhD In Computer ScienceExpertise In Computer VisionProgramming Skills In PythonKnowledge Of PyTorchResearch Track Record

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
AI Theory And PracticeProgramming In C++Rapid PrototypingMachine Learning FrameworksParallel ProgrammingCUDA Knowledge
Soft Skills
Excellent Communication Skills
Tools & Technologies
State-Of-The-Art HardwareResearch Experimentation Infrastructure
Industry Keywords
Embodied AIAgentic AIResearch CollaborationReal-World ApplicationsComputer Vision Venues

Tech Stack

Tools & technologies
PythonPyTorchC++

About the role

Key responsibilities & impact
  • Research, design, and implement novel embodied and agentic AI methods
  • Collaborate with a mentor and broader research team to develop ideas from hypothesis through rigorous experimentation
  • Partner with product and engineering groups to transfer research breakthroughs into real-world applications
  • Rapidly prototype and iterate on ideas using state-of-the-art hardware and infrastructure
  • Publish internship project results at top computer vision and machine learning venues

Requirements

What you’ll need
  • Must be pursuing a PhD in Computer Science/Engineering, Electrical Engineering, etc.
  • Excellent knowledge of theory and practice of AI, particularly computer vision, LLMs, and agents
  • Excellent programming skills in Python, C++, or a similar rapid prototyping environment
  • Knowledge of common machine learning frameworks such as PyTorch
  • Promising research track record
  • Excellent communications skills
  • Knowledge of parallel programming such as CUDA is a plus

Benefits

Comp & perks
  • Competitive salaries
  • Generous benefits package
  • Intern benefits