About the role#
NIO is seeking an AI Robotics Research Intern to work on embodied AI and dexterous manipulation. This role focuses on utilizing large-scale foundation models and human data-based learning to develop physical world intelligence for robots. You will work on harvesting human-object interaction data to bridge the gap between human dexterity and machine execution, with the goal of deploying policies on real hardware for complex, contact-rich tasks.
What you'll do#
- Develop and refine scalable frameworks for the transfer of human-object interaction skills to diverse robotic embodiments.
- Architect autonomous pipelines to process visual and human glove-collected data, extracting spatial and contact-rich information for generalist robot training.
- Implement state-of-the-art generative architectures to synthesize physically grounded, high-fidelity trajectories based on human reference motions.
- Explore cross-embodiment representations to enable joint training on human and robot data, improving generalization in unstructured environments.
- Research and optimize distillation and retargeting techniques to bridge the gap between simulation-trained policies and physical robotic deployment.
What you'll need#
- Master’s or Ph.D. in Robotics, Computer Science, Artificial Intelligence, Mechanical Engineering, Electrical Engineering, or related fields.
- Strong technical foundation in robot learning and control, including reinforcement learning, imitation learning, world modeling, or representation learning.
- Practical experience implementing and fine-tuning Generative Models and Transformer architectures.
- Hands-on experience with robotic manipulation systems, specifically involving contact-rich interaction, grasping, or multi-sensor perception such as tactile, force/torque, or proprioception.
- Proficiency in Python and modern machine learning frameworks like PyTorch, JAX, or TensorFlow.
- Experience with robotics middleware or simulation tools such as ROS/ROS2, MuJoCo, Isaac Sim, or PyBullet.
Location & details#
- Location: San Jose, California, United States
- Modality: On-site
- Type: Full-time
- Term: Rolling
- Compensation: $38.00 - $46.00 per hour
