Principal/Distinguished Engineer - Data and AI

Huawei Technologies Canada Co., Ltd.; Markham; On-site; CAD 100,000 - 160,000; Full time

Job summary

An established industry player is seeking a Principal/Distinguished Engineer to join their innovative team focused on developing next-generation cloud serverless products. This role involves architecting and developing frameworks for advanced data and AI systems, analyzing user scenarios, and generating innovative ideas. The ideal candidate will possess deep expertise in AI data processing and database internals, with strong problem-solving skills and the ability to mentor teams. This is a unique opportunity to contribute to cutting-edge technologies that will shape the future of cloud infrastructure.

Qualifications

• Deep domain expertise in AI data processing and system optimizations.
• Experience with core database internals and serverless platforms.

Responsibilities

• Architect and develop frameworks for next-gen data and AI systems.
• Analyze user scenarios to optimize software solutions.

Skills

AI end-to-end data processing

Problem solving

Dynamic learning

Database internals

Serverless platform infrastructure

Education

Bachelor in Computer Science

Bachelor in Electrical Engineering

Bachelor in Telecommunications

Master's or PhD in relevant area

Job description

Huawei Canada has an immediate permanent opening for a Principal/Distinguished 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:

1. Understand competitive landscape for data processing and serverless infrastructure in cloud.
2. Architect and develop framework/engine for the next-generation data + AI system.
3. Deeply analyze user scenarios resulting in optimized software system solution.
4. Learn and adopt new technologies (parallel, distributed systems, large-scale data analytics system, etc.), research, survey, and present industry trends to the team.
5. Generate innovative ideas and new patent applications.

About the ideal candidate:

Deep domain expertise in the implementation of one or more of the following:

1. Deep understanding of AI end to end data processing, scenarios and system optimizations.
2. Core database internals component (example: query optimization, runtime, scheduling, storage engine, transaction processing, etc).
3. Serverless platform infrastructure.

Strong problem solving skills and ability to learn quickly in a dynamic environment.

Bachelors in Computer Science/Electrical Engineering/Telecommunications.

Masters or PhD in relevant area is an asset.

Experience leading teams and products to generate business impact and customer success stories is an asset.

Able to lead and mentor team on design/technical skills including data structures, multi-threading, concurrency, performance optimizations, etc. is an asset.