AI Software Engineer - Smart Grid & Real-Time ML

Huawei Technologies Co.; Montreal (administrative region); Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Huawei Canada is seeking an AI Software Developer to design and implement intelligent tools for smart grid and energy management systems. You will integrate ML models into production software, build scalable backend services and APIs for data processing, and collaborate with researchers to translate algorithms into deployable solutions.

Ideal candidates hold a Master’s or PhD in CS or EE, show strong Python/Java/C++ skills, experience with ML frameworks, and solid software engineering

Qualifications

• Master’s or PhD in Computer Science, Electrical Engineering, or a related field.
• Strong programming skills in Python, Java, and/or C++.
• Experience with machine learning and up-to-date AI frameworks.
• Solid software engineering fundamentals (data structures, system design, APIs).
• Experience building production-level applications.
• Basic understanding of power systems or smart grid concepts (preferred, not required).

Responsibilities

• Design and develop AI tools and applications for smart grid and energy management systems.
• Integrate machine learning models into real-world software platforms.
• Build scalable backend services and APIs for data processing, analysis, and control.
• Collaborate with researchers to translate algorithms into deployable solutions.
• Work with large-scale data from simulations, sensors, and energy systems.
• Contribute to system architecture, performance optimization, and deployment.

Skills

Python

Java

C++

Machine Learning

Education

Master's or PhD in Computer Science, Electrical Engineering, or related field

Job description

Huawei Canada is seeking an AI Software Developer to design and implement intelligent tools for smart grid and energy management systems. You will integrate ML models into production software, build scalable backend services and APIs for data processing, and collaborate with researchers to translate algorithms into deployable solutions.

Ideal candidates hold a Master’s or PhD in CS or EE, show strong Python/Java/C++ skills, experience with ML frameworks, and solid software engineering