Senior Principal Researcher - AI Data Platform

Posted 4 Days Ago
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Markham, ON, CAN
In-Office
Senior level
Information Technology • Other
The Role
Lead research for AI-native data platforms, including vector data lakes, intelligent caching, RAG retrieval, agent memory, knowledge bases, indexing, hybrid search, and context freshness. Design prototypes, publish at leading venues, secure patents, collaborate with product and engineering teams, represent the organization externally, and mentor researchers and PhD interns.
Summary Generated by Built In

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

About the team:

The Emerging Storage Lab is a research group based at Huawei Canada's Toronto Research Centre that is focused on next-generation data and storage technologies and innovations. Our team comprises graduate computer engineers and computer scientists with diverse industry experience, ranging from 0 to over 20 years. This lab investigates various data storage-related topics, including data management, data catalog, data fabric, file systems, storage networks, and AI storage, aiming to advance the field and drive data storage technological progress in the new AI era.

About the job:

  • Define and drive the long-term research agenda for AI-native data platforms, focusing on vector-native data lakes, intelligent caching, and high-performance retrieval infrastructures for LLMs and RAG.

  • Pioneer research in Agent memory systems, Knowledge Bases, and RAG-optimized data intelligence, advancing the field of Data-Centric AI.

  • Lead research in dynamic data indexing, hybrid search (semantic + keyword), intelligent chunking/parsing strategies, and real-time context freshness.

  • Design and prototype next-generation architectures that unify file storage, data lakes, and low-latency vector indexes into a cohesive, AI-ready data stack.

  • Publish groundbreaking research at top-tier venues (e.g., VLDB, SIGIR, NeurIPS, SIGMOD) and secure patents for novel approaches.

  • Represent the organization as a thought leader through speaking engagements and active participation in the academic and industry community.

  • Collaborate with product and engineering teams to translate research into production-ready systems with tangible real-world impact.

  • Mentor junior researchers and PhD interns, fostering a collaborative, high-impact research environment.

About the ideal candidate: 

  • PhD in Computer Science, Information Retrieval, Data Management, or a related field.

  • 3+ years of research experience in data systems, information retrieval, or AI/ML infrastructure.

  • Proven track record of publishing at top-tier venues such as VLDB, SIGIR, NeurIPS, SIGMOD, or ICDE.

  • Strong understanding of AI Data Platform challenges: hybrid search tuning, index freshness, multi-tenancy in vector spaces, and cost/latency trade-offs.

  • Hands-on experience with unstructured data processing, metadata enrichment, vector databases (e.g., Milvus, Pinecone), or Data Lakes (e.g., Databricks, Snowflake).

  • Exceptional communication skills with the ability to articulate complex research concepts to both academic and industry audiences.

  • Proven ability to influence the field through publications, patents, and cross-functional collaboration across research, product, and engineering.

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.

Skills Required

  • PhD in Computer Science, Information Retrieval, Data Management, or a related field
  • 3+ years of research experience in data systems, information retrieval, or AI/ML infrastructure
  • Proven publication record at top-tier venues such as VLDB, SIGIR, NeurIPS, SIGMOD, or ICDE
  • Strong understanding of hybrid search tuning, index freshness, multi-tenancy in vector spaces, and cost/latency trade-offs
  • Hands-on experience with unstructured data processing, metadata enrichment, vector databases, or data lakes
  • Exceptional communication skills for explaining complex research concepts to academic and industry audiences
  • Ability to influence the field through publications, patents, and cross-functional collaboration
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The Company
HQ: Sham Chun Hu
1,770 Employees
Year Founded: 1987

What We Do

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.

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