Senior Researcher – AI Data Systems
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Senior AI Research role at Huawei Technologies Canada Co., Ltd. Markham · contract · CA$127,000–CA$225,000 OTE.
aimlroles summary, based on the employer's posting.
What you'll do
- Design and prototype data systems for LLMs, AI agents, retrieval-augmented generation and multimodal workloads
- Build scalable approaches to agent memory, vector and semantic retrieval, knowledge management and AI data lifecycles
- Assess vector and graph databases, data lakehouses, retrieval methods, distributed storage and cloud-native infrastructure
- Turn system concepts into proof-of-concept builds and production components using database and distributed-systems techniques
- Review conference research and work with engineers to shape product-ready ideas, technical papers and patent submissions
What you bring
- A master’s or doctorate in computer science, computer engineering, mathematics or a closely related field
- Strong systems programming ability in C++, Rust, Go or a comparable language, including performance tuning and debugging
- Knowledge of AI systems such as LLMs, RAG, agents or semantic search, plus database internals and distributed systems
- Experience with open-source databases or AI data components, such as PostgreSQL, pgvector, Spark, DuckDB or similar technologies
Who this fits
This senior research role suits someone who can combine systems engineering with research, evaluate academic work and prototype new data technologies. It is a twelve-month contractor position based onsite in Markham.
From the employer
Huawei Canada has an immediate 12 month opening for a Researcher.
About the team:
Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada. The lab focuses on researching and developing advanced cloud technologies, supporting the productization and iterative optimization of its technical achievements. Current research areas include cloud native databases, intelligent SQL engine, LLM/Agent infrastructure and LLM/Agent Evaluation Technology. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform.
About the Job:
• Research, design, and prototype next-generation data systems that support AI applications, including LLMs, AI agents, RAG systems, and multimodal workloads.
• Design scalable architectures for agent memory, semantic retrieval, vector search, knowledge management, and AI data lifecycle management.
• Investigate and evaluate state-of-the-art technologies in vector databases, graph databases, data lake houses, retrieval systems, distributed storage, and cloud-native infrastructure.
• Develop proof-of-concept systems and production-quality components using modern database technologies and distributed systems principles.
• Explore advanced capabilities including:
-Vector search and similarity retrieval
-Agent memory systems
-Knowledge graph integration
-Semantic indexing and retrieval
-Hybrid transactional and analytical processing for AI workloads
-AI-driven query optimization and autonomous database capabilities
• Review and summarize recent research from top conferences such as SIGMOD, VLDB, CIDR, ICDE, OSDI, SOSP, NeurIPS, ICML, and ICLR.
• Collaborate with engineers and researchers to translate innovative ideas into product-ready technologies.
• Contribute to invention disclosures, patent applications, technical reports, and publications in leading academic and industrial venues.
The targeted annual total compensation (based on 2,080 hours per year) ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
• Strong programming skills in C++, Rust, Go, or related systems programming languages; Experience with systems-level software development, performance optimization, debugging, and distributed systems.
• Understanding of modern AI applications such as LLMs, RAG pipelines, AI agents, semantic search, or vector retrieval systems.
• Familiarity with cloud-native technologies, distributed storage, parallel computing, consistency protocols, and large-scale system architecture; Experience with database internals such as storage engines, query processing, indexing, transaction management, concurrency control, and distributed databases.
• Strong research mindset with the ability to quickly learn new technologies, analyze academic literature, and prototype innovative ideas; Past publications, patents, or open-source contributions in databases, distributed systems, AI infrastructure, or related areas is an asset.
• Familiarity with PostgreSQL or other open-source database systems and their internal architecture; Experience with vector databases, graph databases, knowledge graphs, or AI data infrastructure technologies.
• Experience developing database extensions or AI-related data system components (e.g., pgvector, Apache Arrow, Spark, DuckDB, Milvus, Weaviate, LanceDB, or similar technologies).
• Experience leveraging modern hardware accelerators such as GPUs, NPUs, TPUs, or other heterogeneous computing platforms.
• Master’s or Ph.D. degree in Computer Science, Computer Engineering, Mathematics, or a related discipline.
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.