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NVIDIA

PhD Research Intern, Autonomous Systems, Physical AI Research

NVIDIA

. Design and implement cutting-edge techniques for autonomous vehicles, robotics, and physical AI .

Posted 10/8/2026full-timeRemote • SingaporeEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing techniques for autonomous vehicles and robotics, with a strong foundation in Python programming and machine learning frameworks. Proven ability to conduct original research and publish findings in leading conferences and journals.

Highest-signal resume keywords
PhD In RoboticsResearch Experience In Autonomous VehiclesPython Programming SkillsMachine Learning FrameworksStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python ProgrammingC++ ProgrammingParallel ProgrammingMachine LearningResearch ExcellenceAutonomous Systems KnowledgeRobotics ExpertiseOpen-Source Software DevelopmentResearch PublicationVehicle Autonomy Theory
Soft Skills
Interpersonal SkillsTeam CollaborationDynamic Adaptability
Tools & Technologies
CUDAPyTorch
Industry Keywords
Autonomous VehiclesRoboticsEmbodied AIResearch ConferencesResearch Artifacts

Tech Stack

Tools & technologies
PythonPyTorchC++

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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 expertise in a related area with a strong interest in applying it to autonomous systems
  • Track record of research excellence demonstrated through publications at leading conferences and journals such as RSS, ICRA, CoRL, IJRR, NeurIPS, ICML, CVPR, TAC, etc., and through other research artifacts such as open-source software
  • Exceptional Python programming skills
  • Experience with C++ and parallel programming, such as CUDA, is a plus
  • Experience with machine learning frameworks such as PyTorch
  • Strong communication and interpersonal skills
  • Ability to thrive in a dynamic, research-focused team

Benefits

Comp & perks
  • Opportunity to publish research
  • Opportunity to open-source code
  • Collaborative culture
  • Opportunities to influence real-world products while conducting publishable research