Huawei Canada has an immediate permanent opening for a Senior Principal 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 LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.
About the job:
Define and drive the strategic research vision and technical roadmap across AI agents, embodied AI, and reasoning-centric large language models.
Lead and mentor a high-caliber, multidisciplinary research team, fostering a culture of scientific excellence, creativity, and rapid iteration.
Translate cutting-edge research into scalable, production-ready AI systems in close collaboration with engineering and product teams.
Stay at the forefront of the field by advancing state-of-the-art methods, conducting original research, and setting internal best practices.
Identify and incubate emerging research directions, leveraging deep engagement with leading academic institutions and industry labs.
Oversee and optimize research investment, infrastructure, and resource allocation to maximize long-term impact.
Represent the organization as a thought leader, through publications, keynote talks, and contributions to the global AI community.
About the ideal candidate:
PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with a focus on reasoning, decision-making, or equivalent groundbreaking industry contributions.
Proven track record of high-impact publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
Deep expertise in foundation models, reasoning systems, and decision-making frameworks, with a strong grasp of both theoretical and applied advances.
Demonstrated ability to translate research ideas into working prototypes and scalable systems with speed and rigor.
Experience working with or collaborating alongside leading AI research labs or technology organizations.
Strong background in large-scale machine learning systems, particularly in domains such as planning, reasoning, robotics, embodied AI, or multi-agent systems.
Exceptional leadership and communication skills, with the ability to inspire teams and influence technical direction at the highest level.
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.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Huawei Technologies provides innovative and customized network solutions for telecom carriers around the world. Huawei holds leading positions in the global market in switching, next generation network (NGN), integrated access network, DSLAM, and intelligent network. Specializing in the areas of fixed network, mobile network, optical network, data communications, and value-added services, we strive to enable the best communication with our deep understanding of customers' needs. Huawei is dedicated to delivering long term value and potential growth to our customers. Established in 1988 and headquartered in Shenzhen, China, Huawei has already won trust from over 300 telecom carriers around the world. Our products and solutions serve over 90 countries, as well as 22 of the world's top 50 operators. Huawei’s cloud computing products provide the reliability, agility, and price-performance needed for delivering cutting-edge applications and services quickly, safely, and securely to large scale of industry verticals. Our cloud deploys various popular technologies like Docker, Kubernetes, Mesos, Openstack, SDN/NFV, Hadoop, Spark, and many more. Huawei Public Cloud now mainly launched in China (and will spread to the other parts of the world) and Private cloud is deployed in several customer locations. Huawei has 400+ Worlwide Data Centers including several public/private cloud setups.