Publié il y a 2 mois
Senior Principal Researcher - AI Data Platform
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
En bref
Huawei Technologies Canada is hiring a Senior Principal Researcher for its Emerging Storage Lab in Toronto to lead research on AI-native data platforms, including vector-native data lakes, RAG infrastructure and hybrid search. The work includes publishing at top venues, prototyping new architectures and mentoring junior researchers.
Responsabilités :
- Define long-term research agenda for AI-native data platforms
- Lead research in dynamic indexing and hybrid search
- Design unified file storage, data lake and vector index architectures
- Publish at top-tier venues and secure patents
- Mentor junior researchers and PhD interns
Résumé des exigences :
- PhD in Computer Science, Information Retrieval or Data Management
- 3+ years research experience in data systems or AI/ML infrastructure
- Track record of publishing at VLDB, SIGIR, NeurIPS, SIGMOD or ICDE
- Hands-on experience with vector databases or data lakes
- Exceptional communication skills
Outils et compétences
Source et dates
Site carrière / système de candidatures · recruitee
- Date publiée par l’employeur
- 2026-09-18
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-11-11
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 3 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Laboratoire |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Doctorat (exigé) |
| Domaines d’études | Computer Science, Information Retrieval, Data Management |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Huawei Technologies Canada Co., Ltd.
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| Champ | Valeur |
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| Secteur | Telecommunications |
| Taille | 10001+ |
| Siège social | Shenzhen, Guangdong |
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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.
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