Chief Scientist - Physical AI

Huawei

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

Qualifications

  • PhD in Computer Science, Robotics, AI, or related field (or Master's with equivalent research and industry experience)
  • Strong foundation in generative AI and sequence modeling in multimodal learning systems
  • Proven research track record with first-author publications in top-tier conferences like NeurIPS and ICML
  • Solid expertise in modern deep learning frameworks such as PyTorch and TensorFlow
  • Proficiency in Python with hands-on experience in robotics systems
  • Experience with large-scale datasets and advanced architectures like transformers or diffusion models

Responsibilities

  • Collaborate with researchers and engineers in Embodied AI and Spatial AI to tackle real-world challenges
  • Develop advanced approaches in Physical AI, focusing on robotic foundation models and multimodal representation learning
  • Translate problem formulations into efficient production-grade systems through large-scale experimentation
  • Design and execute experiments in both simulation and real-world robotic environments
  • Implement closed-loop learning by integrating models and real-world feedback for system improvements
  • Ensure coherence and scalability of systems through cross-functional collaboration
  • Lead high-impact research outputs, including patents and publications in prestigious conferences

Benefits

  • Commitment to fair, inclusive, and accessible recruitment process
  • Direct review of applications by the hiring team without AI screening
  • Collaborative work environment at the cutting edge of AI research and deployment
  • Opportunities for high-impact research contributions
  • Exposure to state-of-the-art technologies and methodologies in AI and Robotics
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.

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