Researcher - Physical AI
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Mid-level AI Research role at Huawei Technologies Canada Co., Ltd. Markham · contract.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop Physical AI methods, spanning robotic foundation models, world models, multimodal learning, planning and control
- Turn research ideas into efficient, production-ready code, then refine them through fast experimentation
- Test approaches in simulation and on real robots, collecting data and assessing performance
- Work with research, infrastructure and robotics teams to connect model results with real-world performance
- Help produce research papers and patents for leading AI and robotics venues
What you bring
- A doctorate in computer science, robotics or a related area, or a master's degree backed by equivalent experience
- Strong generative AI and sequence-modeling expertise, especially with vision-language or multimodal systems
- First-author research published at a leading AI or robotics venue
- Proficiency in Python and experience using modern deep-learning frameworks such as PyTorch or TensorFlow
- Practical robotics experience involving decision-making, planning and control
Who this fits
This contract role suits a mid-level researcher who wants to connect Physical AI research with deployment, including experiments on simulated and real robotic platforms. It is based on-site in Montreal and runs for twelve months. English proficiency is essential for collaboration across offices and the work itself.
From the employer
Huawei Canada has an immediate 12-month contract opening for a Researcher.
About the team:
Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including Next Generation Foundation Model, Agentic Models, Physical AI and Reinforcement Learning.
About the job:
Work closely with a team of researchers and engineers to tackle real-world challenges in Embodied AI and Spatial AI, bridging research and deployment.
Developing state-of-the-art approaches for Physical AI research and applications. Directions include, but not limited to, robotic foundation models, world models, multimodal representation learning, reasoning and planning, imitation learning and reinforcement learning and low-level control.
Translate problem formulations and model designs into efficient, production-ready code, and iterate rapidly through rapid experimentation.
Design and run experiments across both simulation and real-world robotic platforms, including data collection, evaluation, and performance analysis.
Collaborate across research, infrastructure, and robotics systems to close the loop between data, models, and real-world performance.
Contribute to high-impact research outputs, including patents and publications in top-tier AI and robotics venues.
About the ideal candidate:
PhD in Computer Science, Robotics, or a related field (or Master’s with equivalent experience).
Strong background in generative AI and sequence modeling, particularly in vision-language or multimodal systems.
Proven research track record with first-author publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or ICRA.
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.
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.
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.
Huawei aims to support a French-speaking work environment for its employees in Quebec. We have taken steps to avoid requiring a language other than French for this position. However, proficiency in English is essential for this role for the following reasons:
The person will be required to communicate regularly with colleagues located outside Quebec, where English is the primary language used for communication between offices. In addition, the nature of the tasks related to this position, which falls within a highly specialized field of artificial intelligence, also requires knowledge of English.