# Reinforcement Learning Intern

**Company**: NVIDIA
**Location**: Shanghai, China
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Reinforcement-Learning-Intern---2027_JR2029243-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/reinforcement-learning-intern-76ebdc69-43e/

## Description

NVIDIA is seeking a Reinforcement Learning Intern to join its mission in building intelligent, safe, and efficient self-driving technology. As an intern, you will research, prototype, and implement state-of-the-art Reinforcement Learning (RL) algorithms for autonomous vehicle decision-making and trajectory planning.

Responsibilities:

- Research, prototype, and implement state-of-the-art Reinforcement Learning (RL) algorithms for autonomous vehicle decision-making and trajectory planning.

- Assist in developing and scaling training pipelines and simulation environments for complex RL experiments.

- Collaborate closely with senior researchers and engineers across perception and planning teams to integrate RL models into the autonomous driving stack.

- Analyze and benchmark RL model performance against imitation learning and traditional baselines in complex urban simulation scenarios.

- Explore techniques to optimize and lightweight RL policies for real-time deployment on automotive hardware.

Requirements:

- Currently pursuing an MS or PhD in Computer Science, Robotics, Electrical Engineering, or a related quantitative field with a strong academic background.

- Solid theoretical foundation in Reinforcement Learning, including policy gradients (e.g., PPO, GRPO), actor-critic methods, and model-based RL.

- Hands-on project or academic research experience developing and training deep RL algorithms using PyTorch or TensorFlow.

- Strong programming skills in Python and foundational familiarity with C++.

- Great eagerness to learn, strong problem-solving abilities, and excellent communication skills for collaborative team research.

Nice to Have:

- Publication record at top-tier AI/Robotics conferences (e.g., NeurIPS, ICML, IROS, ICRA, CoRL) or relevant open-source contributions in RL or autonomous driving.

- Research exposure to generative modeling (e.g., Flow Matching, Diffusion, AR decoders) applied to trajectory prediction or world models.

- Experience addressing compounding errors, distribution shift, or safety constraints in robotic control and autonomous navigation simulation environments.

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## Skills

### Required
- Reinforcement Learning
- Python
- C++
- PyTorch
- TensorFlow

### Nice to have
- Generative Modeling
- Trajectory Prediction
- World Models

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Reinforcement-Learning-Intern---2027_JR2029243-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)