Senior Principal Architect - AI Powered Big Data Platform

Huawei Canada has an immediate permanent opening for a Senior Principal Architect.

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:

• Continuously track and analyze emerging technical trends and developments in both industry and academia. Formulate strategic technical plans for the next 2-5 years based on comprehensive insights.
• Collaborate closely with stakeholders to comprehend their business needs thoroughly. Translate these requirements into innovative and effective technology solutions that align with organizational objectives.
  
• Offer high-quality solution designs, particularly in the integration of big data and AI projects. Ensure that the proposed solutions are not only technically robust but also aligned with overarching business goals.
• Clearly define the scope of work and accurately estimate the required resources and time commitments. This includes meticulous planning to ensure project success and timely delivery.
• Play a pivotal role in supporting and guiding the research team. Uphold standards for quality and timeliness, ensuring that deliverables meet or exceed expectations.

About the ideal candidate：

• Hold a Bachelor’s Degree or higher in Computer Science, Engineering, or a related field, providing a strong academic foundation for the role.
• Bring a wealth of over 10 years of hands-on experience in the development and architecture of big data and AI solutions, demonstrating seasoned expertise.
• Demonstrates proficiency in a spectrum of big data technologies, including Hadoop, Spark, Hive, HBase, MongoDB, and others. Possesses expert-level knowledge in machine learning, deep learning, large language models, and various AI domains.
• Proven experience in leading and managing a research team of more than 10 individuals, showcasing strong leadership and organizational skills.
• Fluent in programming languages such as Python, Java, C++, or others, ensuring versatility in addressing diverse technical challenges.
• Possess a deep understanding of data structures, algorithms, and design patterns, underpinning the ability to create robust and efficient solutions.
• Exhibit excellent communication, presentation, and problem-solving skills, facilitating effective collaboration and successful project outcomes.
• Knowledge of vector database development or vector index is an asset.