AI Research Engineer – Optical Networking

Huawei Technologies Canada Co., Ltd.; Ottawa; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading technology company in Ottawa is seeking an AI Research Engineer to join their Advanced Optical Technology Lab. This role involves developing AI/ML models for network optimization, writing Python code, and collaborating with cross-functional teams to advance optical communication technologies. Ideal candidates will have a Master's or PhD in Computer Science or Electrical Engineering, along with solid AI/ML experience. The position offers the opportunity to engage in high-performance R&D projects in a multicultural environment.

Qualifications

• Master's or PhD degree in a relevant field is required.
• Solid understanding of optical communication and networking concepts.
• Hands-on experience with Deep Neural Networks and Reinforcement Learning.

Responsibilities

• Develop AI/ML models for network optimization.
• Write Python code for new ideas and troubleshoot.
• Conduct simulations to validate AI/ML models.

Skills

AI/ML model development

Python programming

Deep Neural Networks

Problem-solving

Communication skills

Education

Master’s or PhD degree in Computer Science or Electrical Engineering

Tools

PyTorch

Job description

Overview

Huawei Canada has an immediate permanent opening for an AI Research Engineer.

About the Team

Huawei Canada's Advanced Optical Technology Lab focuses on advanced R&D in high-performance optical communications and networking. Our expert team specializes in transmission algorithms, systems, physics, and optical network management. The lab engages in projects ranging from deep research to developing key product features, actively participating in standards organizations and collaborative research with partners. Our multicultural environment fosters innovation, mentorship, and a passion for learning. If you thrive on solving complex technical challenges, this lab is your ideal place.

Responsibilities

• Develop AI/ML models and agents for network optimization, routing and resource allocation.
• Write Python code to implement new ideas or algorithms, troubleshoot and diagnose integration issues, and refine solutions.
• Conduct simulations and experiments to validate efficacy of AI/ML models and evaluate their performance.
• Prepare reports and present findings to technical and non-technical stakeholders.
• Collaborate with cross-functional teams to embed AI into optical platforms.
• Stay abreast of AI/ML advancements to come up with innovative solutions and apply them to optical network automation and optimization tasks.

Qualifications

• Master’s or PhD degree in Computer Science or Electrical Engineering.
• Solid understanding of the concepts and familiarity with the technologies of optical communication and networking.
• In-depth knowledge of AI/ML through some hands-on experience with Deep Neural Networks and Reinforcement Learning (RL).
• Proficiency in Python, with proven ability to write efficient, scalable code, plus extensive experience with PyTorch.
• Strong problem-solving and communication skills and a passion for tackling complex technical problems.
• Familiarity with Graph Neural Networks (GNN) and neural combinatorial optimization techniques and architectures is an asset.