Senior Researcher AI Data Platforms

Huawei Canadahas an immediate permanent opening for a Senior Researcher.

About the team:

The Emerging Storage Lab is a research group based at Huawei Canadas 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:

• Conduct applied research on next-gen AI data storage and retrieval systems including vector-native data lakes intelligent caching and high-performance RAG infrastructure.

• Pioneer research in Agent memory systems Knowledge Bases and RAG-optimized intelligence driving innovation in hybrid search dynamic indexing chunking/parsing and real-time context freshness at petabyte scale.

• Design and implement data metadata and pipeline components with robust lineage versioning and lifecycle management prototyping unified architectures for file storage data lakes and vector indexes.

• Optimize the data plane for distributed shuffling fast checkpointing model/KV Cache loading/offloading and low-latency metadata serving for billion-scale entities.

• Develop system software integrating AI storage data preparation and orchestration frameworks (Ray Kubernetes Slurm) eliminating bottlenecks from curation to serving.

• Optimize end-to-end data paths from persistent storage to compute nodes leveraging NVMe RDMA networking prefetching and async I/O to meet enterprise AI demands.

• Publish influential research on Agent Memory RAG and AI-native data management at top-tier conferences and contribute to patents and industry forums.

• Collaborate with global research and engineering teams on architecture reviews performance optimizations and execution of the strategic roadmap.

The total target annual compensation for this position ranges from $127000 - $225000 depending on education experience and demonstrated expertise.

About the ideal candidate:

• Ph.D. or Masters in Computer Science or related field with a strong research background in data management information retrieval storage systems or AI/ML infrastructure.

• Deep research expertise in RAG Agent memory vector databases or indexing technologies demonstrated through first-author publications at top-tier conferences.

• Strong systems building and prototyping skills with proficiency in C/C and Python and experience with distributed storage APIs (S3 HDFS POSIX) data processing frameworks or vector indexing libraries (FAISS ScaNN).

• Solid understanding of data storage architectures (object stores distributed file systems caching layers) and retrieval challenges including hybrid search index freshness and cost/latency trade-offs between dense and sparse methods.

• Familiarity with AI/ML development lifecycles including data drift distributed data loading LLM pre-training vs. fine-tuning and advanced RAG techniques (HyDE Multi-Query Contextual Compression).

• Excellent research communication skills with the ability to articulate complex ideas across hardware software and AI disciplines and a strong desire to bridge academic research with production-grade systems.

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.