Huawei

Global ICT infrastructure and devices provider

Principal Engineer - Vector Database

Backend EngineeringUpdated on Nov 13

Full-timeMarkham, ON, CanadaNo salary listedIn-person

About the Job

Responsibilities

Architect and develop frameworks and engines for next-generation serverless computing tailored to AI workloads, including large language model training and inference, agent execution, and reinforcement learning training.
Lead the design and innovation of vector database storage engines within a large-scale data and AI infrastructure platform.
Drive advances in vector indexing, retrieval algorithms, and storage architectures to enable low-latency, high-throughput vector search at scale.
Define and evolve the technical roadmap for next-generation vector database storage technologies.
Monitor industry trends, open-source ecosystems, and competitive landscapes, and 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.

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 Company

Huawei

Global ICT infrastructure and devices provider

Huawei designs and sells ICT infrastructure, devices, and cloud services for telecom operators, enterprises, and consumers. Its products span telecom networks, IT infrastructure, smart devices, and cloud offerings, and they operate globally in more than 170 countries. Huawei’s technology works by combining hardware and software across networking gear, servers, consumer electronics, and cloud platforms, enabling connectivity, data processing, and smart solutions for businesses and homes, with a focus on secure, open collaboration with ecosystem partners. Differences from competitors come from its large scale, employee ownership structure, extensive R&D investment, and broad end-to-end solutions that integrate networks, IT, devices, and cloud. The company aims to empower people, enrich home life, and drive organizational innovation by delivering value through collaboration, advanced technologies, and customer-focused services.

Company size: 10,001+
Company stage: Debt Financing
Total funding: $2.4B
Headquarters: Shenzhen, China
Founded: 1987

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