AI Developer – Optical Networking

Huawei Canada has an immediate 12-month contract opening for an AI Developer.

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.

About the Job:

• Develop AI/ML models and agents for network optimization, performance prediction, resource allocation, fault detection, and traffic prediction.

• Design, engineer, and implement algorithms for real-time analysis of network telemetry and performance metrics.

• Conduct simulations and experiments to validate efficacy of AI/ML models and evaluate their performance.

• Collaborate with cross-functional teams to embed AI into optical platforms.

• Troubleshot and diagnose integration issues and refine solutions.

• Maintain clear records of methodologies and implementations. Prepare reports and present findings to technical and non-technical stakeholders.

• Stay abreast of AI/ML advancements to come up with innovative solutions and apply them to optical network automation and optimization tasks.

About the ideal candidate:

• Master’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).

• In-depth knowledge of AI/ML, and extensive experience with at least one of the major deep learning frameworks (PyTorch, Tensorflow, JAX).

• Strong proficiency in Python, C++, or similar languages, with proven ability to write efficient, scalable code.

• Familiarity with the concepts and tools for building LLM-powered AI agents.

• Strong problem-solving and communication skills and a passion for tackling complex technical problems.

• Familiarity with neural combinatorial optimization techniques, models and architectures is an asset.

• Experience building and deploying AI-powered products and/or features for real-world applications is an asset.

• Publications in AI/ML or networking conferences is an asset.

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