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AI Developer – Optical Networking

    • Ottawa, Ontario
  • twuy6

Job description

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, path computation, resource allocation, and fault detection.

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

  • Troubleshoot and diagnose integration issues and refine solutions.

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

  • 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.

Job requirements

About the ideal candidate:

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

  • In-depth knowledge of AI/ML through some hands-on experience with Reinforcement Learning (RL) and Graph Neural Networks (GNN).

  • Extensive experience with PyTorch or other major deep learning frameworks (TensorFlow, JAX).

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

  • 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.

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

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

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