Technical VP – Big Data Platform

  • Full Time
  • Markham

Huawei Technologies Canada Co., Ltd.

Huawei Canada has an immediate permanent opening for a Technical VP.

About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.



One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.



About the job:

  • Conduct in-depth analysis of mainstream products and advanced technologies in the data domain. Achieve groundbreaking innovations in big data engine, data-AI integration, large model data engineering, and software-hardware co-design on heterogeneous platforms. Explore the evolution direction of AI and big data, and drive the development of data and cutting-edge technologies.

  • Develop comprehensive AI big data technology strategies and roadmaps, acting as a visionary in technical aspect to achieve commercial success. Lead the development of data domain products and build industry-leading big data + AI products to meet data processing requirements in the era of large models.



  • Be responsible for attracting global talent and assembling a first-class research team. Lead the team to deliver competitive high-quality data domain products, ensuring the leading position in the market. As the director of the Big Data Committee, preside over major technical solution reviews and decision-making processes.

  • Participate in big data industry and academic conferences or communities, and leverage open-source platforms/projects to enhance the influence of Kunpeng Architecture and its ecosystem in the big data domain.


To apply, please visit the following URL: