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.
Requirements
About the ideal candidate：
Deep understanding of core features and performance optimization of one of the main big data engines, such as Spark, Flink, Presto, HBase, Hive, etc.
Deep understanding and hands-on experience in designing & developing solutions in the Data & AI domain. Rich experience in large model-oriented data engineering, and understanding of data requirements for large models.
Proven experience in successful design, development, and delivery of software-hardware co-design projects involving CPU+GPU/NPU.
Proven track record of architecture design and implementation in big data engines/databases solution, with remarkable commercial impact. Publication record in top-tier conferences or patents in the data domain is preferred. Experience in managing global R&D teams, and ability to effectively lead teams across time zones.
This role is not solely a managerial position. The ideal candidate is expected to actively contribute to technical aspects, emphasizing a hands-on and leadership-oriented approach.
Familiarity with ARM chips/ecosystems is an asset.
Familiarity with Flink architecture and experience in self-developed engine development are assets.
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