Senior Researcher - Physical AI

Huawei Technologies Canada Co., Ltd. • Markham, ON

24d

About The Position

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 LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving. This role involves working closely with a team of researchers and engineers to tackle real-world challenges in Embodied AI and Spatial AI, bridging research and deployment. The position focuses on developing state-of-the-art approaches for Physical AI research and applications, including robotic foundation models, world models, multimodal representation learning, reasoning and planning, imitation learning, reinforcement learning, and low-level control. It also requires translating problem formulations and model designs into efficient, production-ready code, iterating rapidly through experimentation, and designing and running experiments across both simulation and real-world robotic platforms, including data collection, evaluation, and performance analysis. Collaboration across research, infrastructure, and robotics systems is essential to close the loop between data, models, and real-world performance, and the role contributes to high-impact research outputs, including patents and publications in top-tier AI and robotics venues.

Requirements

• 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.
• 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.

Nice To Haves

• Experience with real robots or ROS.
• Experience working with large-scale datasets, sensor data, transformer-based architectures, or diffusion models.
• Familiarity with reinforcement learning and/or imitation learning methods.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees