Research Engineer – DSP/FEC for Optical Communication

Ottawa, Ontario, Canada

Huawei Technologies Canada Co., Ltd.

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.

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

About the Job:

  • Design, evaluate, and optimize advanced DSP blocks for cutting-edge optical communication systems.

  • Develop and integrate DSP modules within a large-scale, high-fidelity simulation platform.

  • Create comprehensive technical documentation and deliver presentations to cross-functional teams and stakeholders.

  • Engage in forefront research in optical communications, with a focus on Digital Signal Processing (DSP) and Forward Error Correction (FEC) techniques.

Requirements

About the ideal candidate:

  • Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science; PhD is an asset.

  • Expertise in Digital Signal Processing (DSP) techniques and applications.

  • Strong foundation in digital communication theory, including modulation, coding, and channel modeling.

  • Solid understanding of Forward Error Correction (FEC) coding theory (e.g., BCH, RS, OFEC).

  • Proficient in statistical analysis and data modeling.

  • Programming proficiency in Python, C++, and MATLAB.

  • Familiarity with optical communication systems is an asset

  • Experience or knowledge in machine learning (ML) is an asset.

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Tags: Computer Science Engineering Machine Learning Matlab PhD Physics Python R R&D Research Statistics

Region: North America
Country: Canada

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