Reinforcement Learning and World Model for Autonomous Simulation Intern - 2027

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are in search of a hardworking intern with expertise in Reinforcement Learning and Multi-Modal World Simulation Model to propel the evolution of ML-centric autonomous driving and Physical AI solutions. The focus of this role lies in model-centric RL, learning about world simulation models, and translating state-of-the-art (SOTA) algorithms into real-world applications, allowing vehicles to interpret, anticipate, and respond astutely in challenging dynamic contexts.