Huawei Canada has an immediate 6 to 12 month internship opening for a Researcher.
About the team:
The Software-Hardware System Optimization Lab focuses on research and innovation in power efficiency and performance optimization for consumer devices. By leveraging the talents and capabilities of local academia and our team, we aim to build system-optimization capabilities for software and hardware across edge AI, multimedia, graphics, mobile gaming, and system software domains, thereby enhancing the user experience and performance competitiveness of Huawei's consumer device products.
About the job:
Conduct cutting-edge research on high-performance embodied AI systems, with a focus on robotic manipulation and autonomous decision-making.
Develop novel reinforcement learning, imitation learning, and learning-from-demonstration algorithms to improve the safety, robustness, and generalization of embodied agents.
Design and evaluate methods for leveraging negative data, failure cases, human feedback, and corrective demonstrations to improve policy learning.
Develop and study Vision-Language-Action (VLA) models, Vision-Language Models (VLMs), and embodied AI agents for embodied intelligence and robot learning applications.
Implement, train, and evaluate state-of-the-art models in both simulation and real-world robotic environments.
Collaborate closely with researchers and engineers to translate research ideas into scalable systems and internal technology prototypes.
Stay current with the latest advances in reinforcement learning, robot learning, embodied AI, and foundation models, and contribute technical insights to the team's research roadmap.
About the ideal candidate:
Currently pursuing a Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, Artificial Intelligence, or a related field.
Experience developing, training, or evaluating Vision-Language-Action (VLA) models, Vision-Language Models (VLMs), multimodal foundation models, or embodied AI systems.
Experience working with robot simulators, robotic platforms, robotics algorithms, or real-world embodied AI systems.
Proficient in Python, with hands-on experience in modern deep learning frameworks (e.g., PyTorch, TensorFlow).
Demonstrated ability to independently drive research from ideation through implementation, experimentation, publication, and technology transfer.
Experience with embedded systems or building real-world robotic systems is preferred.
Additional Information:
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.