Intern Researcher - Physical AI

Currently pursuing a Master’s or PhD degree in Computer Science, Robotics, Electrical Engineering, or related fields

Strong background in generative AI and sequence modeling, particularly in vision-language or multimodal systems.

Proven research record in AI by having at least one paper as the first author in top tier venues, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA.

Proficient in Python and experienced with modern deep learning frameworks (e.g., PyTorch, TensorFlow).

Hands-on experience with robotics systems, including decision-making, planning, and control; experience with real robots or ROS is an asset.

Understanding of 3D perception, motion planning, reinforcement learning, or multimodal AI is an asset

Experience working with large-scale datasets, sensor data, transformer-based architectures, or diffusion models is an asset.

Familiarity with reinforcement learning and/or imitation learning methods is an asset.

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.