Co-op Software Engineer - Serverless Infrastructure & Technologies

Huawei Canada; Vancouver; On-site; CAD 56,000 - 79,000; Full time

Job summary

Huawei Canada is offering a Co-op Software Engineer position in the Intelligent Cloud Infrastructure Lab. The role focuses on innovating serverless technologies, addressing performance challenges, and designing scalable architectures for AI applications. Candidates should be pursuing a Masters in Computer Science or related fields, with programming experience in various languages.

Qualifications

• Experience in serverless, event-driven architecture, and / or distributed system design is an asset.
• Interpersonal and communication skills for collaboration across teams.

Responsibilities

• Initiate and lead innovation projects to build serverless infrastructure.
• Design scalable architecture for serverless systems optimized for AI training.

Skills

C

C++

Go

Java

Rust

Python

C#

Education

Masters student in Computer Science or related field

Tools

AWS Lambda

Google KNative

Azure Functions

Kubernetes

ServerlessML

KubeFlow

KubeML

Job description

Co-op Software Engineer - Serverless Infrastructure & Technologies

Join to apply for the Co-op Software Engineer - Serverless Infrastructure & Technologies role at Huawei Canada .

About the team :

The Intelligent Cloud Infrastructure Lab aims to innovate technologies, algorithms, systems, and platforms for next-generation cloud infrastructure. The lab addresses scalability, performance, and resource utilization challenges in existing cloud services while preparing for future challenges with appropriate technologies and architectures. Additionally, the lab aims to understand industry dynamics and technology trends to create a robust ecosystem.

About the job :

• Understand the serverless technology landscape, and identify scalability / performance issues or challenges of the current serverless platform.
• Initiate and lead innovation projects to build or re-architect the serverless infrastructure platform, planning milestones accordingly.
• Design scalable and high-performance architecture for the new serverless infrastructure system, optimized for AI training and inference, including serverless cluster management, scheduling, and cold / warm startup optimization.
• Collaborate with internal and external teams to deliver project features that enhance system scalability and performance.

The target annual compensation (based on 2080 hours per year) ranges from $56,000 to $79,000, depending on education, experience, and demonstrated expertise.

Job requirements :

• Masters student in Computer Science or a related field, or relevant industry experience in system software development.
• Experience with programming languages such as C / C++, Go, Java, Rust, Python, or C#.
• Experience in serverless, event-driven architecture, and / or distributed system design and development is an asset.
• Knowledge of technologies like AWS Lambda, Google KNative, Azure Functions, Kubernetes, ServerlessML, KubeFlow, or KubeML is an asset.
• Excellent interpersonal and communication skills to collaborate effectively with multiple teams.

Additional information :

• Seniority level : Internship
• Employment type : Internship
• Job function : Engineering and Information Technology
• Industry : Telecommunications

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