Job Description
<p><strong><span style="font-size:1.2em"><span style="color:#121317">Huawei Canada has an immediate permanent opening for a Chief Scientist.</span></span></strong></p><p style="min-height: 1.7em;"></p><p><strong><span style="font-size:1.2em"><span style="color:#121317">About the team:</span></span></strong><span style="font-size:1.2em"> </span></p><p><span style="font-size:0.9em"><span style="color:#0E101A">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.</span></span><span style="color:#0E101A"> </span></p><p style="min-height: 1.7em;"></p><p><strong><span style="font-size:1.2em"><span style="color:#1D1D1A">About the job:</span></span></strong></p><ul><li><p><span style="color:#121317">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.</span></p></li><li><p><span style="color:#121317">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.</span></p></li><li><p><span style="color:#121317">Translate advanced problem formulations and model designs into efficient, production-grade systems, enabling rapid iteration through large-scale experimentation.</span></p></li><li><p><span style="color:#121317">Design and execute experiments across both simulation and real-world robotic platforms, covering data collection, evaluation, and performance analysis.</span></p></li><li><p><span style="color:#121317">Drive closed-loop learning by integrating data, models, and real-world feedback to continuously improve system robustness and adaptability.</span></p></li><li><p><span style="color:#121317">Collaborate cross-functionally across research, infrastructure, and robotics systems to ensure end-to-end system coherence and scalability.</span></p></li><li><p><span style="color:#121317">Contribute to and lead high-impact research outputs, including patents and publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, and ICRA.</span></p></li></ul><p style="min-height: 1.7em;"></p>
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