Chief Scientist - Physical AI

Huawei

$130K — $180K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Computer Science, Robotics, AI, or related field, or equivalent industry experience with a Master's.
  • Strong foundation in generative AI and sequence modeling, especially in multimodal systems.
  • Proven research track record with first-author publications in leading conferences like NeurIPS and CVPR.
  • Expertise in modern deep learning frameworks such as PyTorch, TensorFlow, and proficiency in Python.
  • Hands-on experience with robotics systems and decision-making/control, with ROS experience as a plus.
  • Experience with large-scale datasets and advanced AI architectures, including transformers.

Responsibilities

  • Collaborate with researchers and engineers on Embodied AI and Spatial AI initiatives.
  • Develop innovative approaches in Physical AI involving robotic and world models.
  • Translate complex AI models into efficient, production-ready systems for large-scale testing.
  • Design and conduct experiments on simulation and real robotic platforms.
  • Integrate data and feedback for continuous system improvement and robustness.
  • Coordinate cross-functional collaboration to ensure coherent system deployment.
  • Lead and contribute to impactful research, including patents and high-profile publications.

Benefits

  • Commitment to a fair and inclusive recruitment process.
  • Opportunity for accommodations during the hiring process.
  • Focus on a French-speaking work environment in Quebec.
  • Direct review of applications by the hiring team, without AI screening tools.
Full Job Description
Huawei Canada has an immediate permanent opening for a Chief Scientist.

About the job:
  • Work at the forefront of Embodied AI and Spatial AI, collaborating with researchers and engineers to solve real-world challenges and bridge cutting-edge research with scalable deployment.
  • Develop state-of-the-art approaches in Physical AI, including robotic foundation models, world models, multimodal representation learning, reasoning and planning, as well as imitation and reinforcement learning with integrated low-level control.
  • Translate advanced problem formulations and model designs into efficient, production-grade systems, enabling rapid iteration through large-scale experimentation.
  • Design and execute experiments across both simulation and real-world robotic platforms, covering data collection, evaluation, and performance analysis.
  • Drive closed-loop learning by integrating data, models, and real-world feedback to continuously improve system robustness and adaptability.
  • Collaborate cross-functionally across research, infrastructure, and robotics systems to ensure end-to-end system coherence and scalability.
  • Contribute to and lead high-impact research outputs, including patents and publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, and ICRA.


About the ideal candidate:
  • PhD in Computer Science, Robotics, AI, or a related field (or Master's with equivalent research and industry experience).
  • Strong foundation in generative AI and sequence modeling, particularly in vision-language or multimodal learning systems.
  • Proven research track record with first-author publications in top-tier conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or ICRA.
  • Solid expertise in modern deep learning frameworks (e.g., PyTorch, TensorFlow) and strong proficiency in Python.
  • Hands-on experience with robotics systems, including decision-making, planning, and control; experience with real-world robots or ROS is an asset.
  • Experience working with large-scale datasets, sensor data, and advanced architectures such as transformers or diffusion models.

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.

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