Nvidia PhD Research Intern Robotics and/or Autonomous Vehicles - 

United States, Texas 

994532027

Intelligent machines powered by Artificial Intelligence that can learn, reason, and interact with people are no longer science fiction. An AI-powered robot can build 3D maps of its environment,and track real-life objects, learn from simulated environments, and understand language commands. This is truly an extraordinary time — the era of AI has begun.the Robotics Research Lab in Seattle, Washington, and Santa Clara, Californiathe Generalist Embodied Agent Research (GEAR) group, and the Autonomous Vehicles Research

Robotics Research Labto task planning and critical areas related to Sim2Real and largevision-language-actionmodels.publish original research.

Autonomous Vehicle Research Groupbrings together a diverse and interdisciplinary set of researchers to address core topics in vehicle autonomy ranging from perception, prediction, planning and control, to long-tail generalization and robustness, as well as advance the state-of-the-art in a number of critical related fields such as foundation models, self-supervised learning, scenario generation and simulation, decision making under uncertainty, and the verification and validation of safety-critical AI systems.

hat you will be doing

• Work with experts in robotics andlearningto define your research project.

• Design and implement advanced techniques for robotperception, planning, and control, as well as new AI models for humanoid robots, autonomous vehicles,and embodied agents.

• Collaborate with other research team members and a diverse set of internal product teams.

• open-sourceof the technologyyou'vedeveloped to relevant product groups.

What we need to see:

• Currently pursuing a PhD Degree inComputer Science, Electrical or Mechanical Engineering, or a related field

• Experience in oneor moreof the following areas:

• t Manipulation

• Robot Control

• 3D Computer Vision

• Physics-Based Simulation

• Human-Robot Interaction

• Humanoid Robots

• Embodied Agents

• Large Vision and Language Models

• Reinforcement Learning

• Deep Understanding of Robot Kinematics, Dynamics, and Sensors

• Autonomous Vehicles

• Foundation Models

• Self-Supervised Learning

• Scenario Generation and Simulation

• Verification and Validation of Safety-Critical AI Systems

• Programming experience andproficiencyin Python (main), C, or C++

• Experience with CUDA and deep learning frameworks (i.eTensorFlow orPyTorch)

• Strong background in research with publications from top robotics and AI conferences (i.e.RSS, CORL, ICRA, CVPR,NeurIPS)

• Excellent communication skills.