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CD
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- Part-time
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Canada
- Full-time
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HT
Technical Project Assistant
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
- On-site
Added 22 hours ago
HT
Principal Engineer - Vector Database
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
- On-site
Added 22 hours ago
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Ottawa, ON
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Huawei Technologies Canada Co., Ltd.
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Huawei Technologies Canada Co., Ltd.
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Added 22 hours ago
HT
Recruiter
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Contract
- On-site

Huawei Technologies Canada Co., Ltd.

Principal Engineer - Vector Database

Markham, ON, Canada

On-site

Full-time

Apply on huaweicanada.recruitee.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: On-site
Posting language: English
Posted: Apr 17, 2026

Original job description

Huawei Canada has an immediate permanent opening for a Principal Engineer.

About the team:

The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.

About the job:

Architecting and develop frameworks and engines for next-generation serverless computing tailored to AI workloads (LLM training/inference, agent execution, RL training, etc.).
Lead the design and innovation of vector database storage engines within a large-scale Data + AI infrastructure platform.
Drive breakthroughs in vector indexing, retrieval algorithms, and storage architectures, enabling low-latency, high-throughput vector search at scale.
Define and evolve the technical roadmap for next-generation vector database storage technologies.
Stay deeply engaged with industry trends, open-source ecosystems, and competitive landscapes; translate customer requirements and real-world workloads into differentiated technical solutions.
Architect and build high-performance, scalable, and reliable vector storage systems used in production environments.

About the ideal candidate:

Proven ability to explore, design, and plan innovative systems technologies, with strong technical judgment and architectural thinking.
Deep understanding of database systems, storage engines, and vector search technologies, with hands-on experience designing and shipping production systems.
Lead the development of mission-critical products or subsystems, with successful delivery and commercial deployment.
Strong record of high-quality system design and execution, including component abstraction, modular architecture, and long-term maintainability.
Experience operating at Staff / Principal / Architect level, influencing technical direction across teams or organizations.
Experience with vector databases (e.g., FAISS, Milvus, HNSW-based systems, or custom implementations).
Background in distributed systems, storage systems, or AI infrastructure.
Contributions to open-source projects or published systems research.

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.

Apply on huaweicanada.recruitee.com About employer

More about this job

Responsibilities

The Principal Engineer at Huawei Canada will architect and lead development of vector database storage engines and serverless AI computing frameworks. The role also defines the technical roadmap and turns customer workloads into technical solutions.

Requirements

Candidates need deep experience with database systems, storage engines and vector search, and a record of shipping production systems at Staff, Principal or Architect level. Experience with vector databases such as FAISS or Milvus, and open-source or published research contributions, are valued.

Skills

Vector databases
FAISS
Milvus
HNSW
Vector indexing and retrieval algorithms
Database storage engine design
Distributed systems
Storage systems architecture
Serverless computing
AI infrastructure
RDMA
Cloud-native disaggregated databases
System architecture and design
Technical roadmap definition
Modular system design
Open-source ecosystems

Keywords

vector database
Principal Engineer
FAISS
Milvus
HNSW
vector indexing
approximate nearest neighbor search
storage engine
distributed systems
serverless computing
AI infrastructure
RDMA
LLM inference
database systems
cloud-native databases
Data + AI platform

Seniority

Lead

Tools

FAISS
Milvus
HNSW
RDMA

Languages

English

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Work requirements

Jobs in Canada