Reinforcement Learning and World Model for Autonomous Driving Intern - 2026
NVIDIA(2 months ago)
About this role
An intern specializing in Reinforcement Learning and Multi-Modal World Simulation Models to advance ML-driven autonomous driving and Physical AI. The role is research-focused on model-centric RL and translating state-of-the-art algorithms into real-world simulation systems that enable vehicles to interpret, anticipate, and respond in dynamic environments. This position offers the chance to shape intelligent driving technologies and contribute to simulation systems that learn, adapt, and generalize.
Required Skills
- Reinforcement Learning
- Multi-Modal Simulation
- Model-Based RL
- Neural Rendering
- Robotics
- Policy Gradients
- Actor-Critic
- Offline RL
- Visual Representation
- 4D Scene Representation
+12 more
Qualifications
- Pursuing PhD in Computer Science or Machine Learning
About NVIDIA
nvidia.comNVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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