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Distinguished Engineer - AI Computing System at Huawei Technologies Canada Co., Ltd.

Position Distinguished Engineer - AI Computing System
Posted 27 Aug 2026
Expired 26 Sep 2026
Company Huawei Technologies Canada Co., Ltd.
Location Burnaby | CA
Job Type Full Time

Job Description:

Latest job information from Huawei Technologies Canada Co., Ltd. for the position of Distinguished Engineer - AI Computing System. If the Distinguished Engineer - AI Computing System vacancy in Burnaby matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Huawei Technologies Canada Co., Ltd. for the position of Distinguished Engineer - AI Computing System below matches your qualifications.

Huawei Canada has an immediate permanent opening for a Distinguished Engineer - AI Computing System

About the team:

The Advanced Computing and Storage Lab, currently a part of the Vancouver Research Centre, aims to explore adaptive computing system architectures to address the challenges posed by flexible and variable application loads in the future. It assists in ensuring the stability and quality of training clusters, constructs dynamic cluster configuration strategy solvers, and establishes precision control systems to create stable and efficient computing power clusters. One of the lab's goals is to focus on key industry AI application scenarios such as large model training/inference, based on key technologies like low-precision training, multi-modal training, and reinforcement learning, responsible for bottleneck analysis and the design and development of optimization solutions, thereby improving training and inference performance as well as usability.

About the job:

  • As a leading expert in the industry in the field of training cluster software frameworks and technologies, gain insights into the evolution direction of industry AI large model training frameworks and key features. Plan and layout AI frameworks and software features for scenarios such as large model pre-training, post-training, and integrated training and inference, building key capabilities for the company's training cluster software framework.
  • Focusing on the company's large model training optimization field, lead the team to build key technologies such as low-precision training, parallel strategy tuning, and training resource optimization, promoting the commercial implementation of large model perception optimization-related technologies.
  • Focusing on the company's training servers and super nodes and other products, lead the team to build large model AI training frameworks, operator libraries, acceleration libraries, and other software frameworks and acceleration features, fully leveraging system engineering and software-hardware collaboration capabilities to enhance AI cluster computing efficiency.
  • Identify high-quality academic resources in the direction of large model training, collaborate with domain experts and scholars on projects, layout related standards and patents, support the company's continuous innovation in the training cluster field, and build long-term competitiveness in the AI training cluster direction.
  • Cultivate a team of technical experts and key technical backbone in the direction of AI training cluster frameworks and software optimization. 

The base salary for this position ranges from $172,000 to $230,000 depending on education, experience and demonstrated expertise.

Job Info:

  • Company: Huawei Technologies Canada Co., Ltd.
  • Position: Distinguished Engineer - AI Computing System
  • Work Location: Burnaby
  • Country: CA

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Distinguished Engineer - AI Computing System at the office Burnaby above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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