Distinguished Architect - Data and AI

Huawei Canada; Markham; On-site; CAD 100,000 - 160,000; Full time

Job summary

An established industry player is seeking a Distinguished Architect to lead the development of next-generation cloud serverless products. This role involves architecting innovative frameworks for data and AI systems while addressing complex data challenges. The ideal candidate will have over a decade of experience in AI data processing, strong leadership abilities, and a knack for problem-solving in dynamic environments. Join a forward-thinking team that is at the forefront of cloud technology and make a significant impact on the future of data infrastructure.

Qualifications

• 10+ years in AI data processing and system optimizations.
• Experience leading teams to achieve business impacts.
• Strong problem-solving skills in dynamic environments.

Responsibilities

• Architect and develop frameworks for next-gen data and AI systems.
• Analyze user scenarios for optimized software solutions.
• Research and present industry trends to the team.

Skills

Team Leadership

Problem Solving

Data Structures

Multi-threading

Concurrency

Performance Optimizations

Large Scale Data Processing

AI Data Processing

Education

Bachelor’s degree in Computer Science

Master’s degree in Computer Science

PhD in Computer Science

Tools

Flink

Spark

RocksDB

LevelDB

Redis

Job description

Huawei Canada has an immediate permanent opening for a Distinguished Architect.

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:

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

About the ideal candidate:

• Experience leading teams and products to generate business impact and customer success stories.
• Able to lead and mentor team on design/technical skills including data structures, multi-threading, concurrency, performance optimizations, etc.
• 10+ years experience in the implementation of one or more of the following: AI end to end data processing, scenarios and system optimizations, core database internals (Ex: query optimization, runtime, scheduling, storage engine, transaction processing, etc.), large scale data processing (Ex: Flink, Spark, etc.), scalable key-value store (Ex: RocksDB, LevelDB, Redis, etc.), and serverless platform infrastructures.
• Strong problem solving and ability to learn quickly in a dynamic environment.
• Bachelor’s degree in Computer Science/Electrical Engineering/Telecommunications; MS or PhD is an asset.