Researcher - Embodied AI

Huawei Canada has an immediate 12-month contract 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.