Co-op Engineer

Huawei Canada; Ottawa; Presencial; CAD 58 000 - 104 000; Tempo integral

Resumo da oferta

Huawei Canada is seeking an engineering co-op for 8–12 months in Ottawa to work on IMDD transmission systems over Hollow-Core Fiber. You will model and simulate end-to-end non-coherent optical links, study the impact of gas absorption, and optimize signaling and equalization to improve reach and efficiency.

The ideal candidate is enrolled in a Master’s/PhD program in Electrical Engineering, familiar with Matlab/Python, and has a publication record. Co-op terms for the full duration are required.

Qualificações

• Enrolled in Master’s/PhD program in Electrical Engineering
• Solid background in non-coherent optical fiber transmission and reception
• Familiarity with Matlab and Python programming languages
• Publication record on similar topics is an asset
• Applicants must be enrolled in a co-op program for the full duration of employment

Responsabilidades

• Design and simulate IMDD transmission systems over Hollow-Core Fiber
• Model end-to-end non-coherent optical transmission systems
• Model Hollow-Core Fiber and gas absorption impact on transmission
• Explore signaling and equalization to mitigate channel fading
• Study impact of high launch power on reach and performance

Conhecimentos

Matlab

Python

Team player

Publication record

Formação académica

Master's/PhD in Electrical Engineering

Descrição da oferta de emprego

Huawei Canada has an immediate 8-12 month Co-op opening for an 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 AI-driven 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:

• Working on the next generation of short-reach and data center interconnect (DCI) networks. In this role you will focus on the design and simulation of Intensity-Modulated Direct-Detection (IMDD) transmission systems operating over cutting-edge Hollow-Core Fiber (HCF). Given the physical properties of HCF, efficient signaling and equalization methods are fundamental to achieve cost and power efficient optical links.


• Modeling of end-to-end non-coherent optical transmission system.


• Modeling of Hollow-Core Fiber and the impact of gas absorption on the transmission.


• Exploring efficient signaling and equalization to combat channel induced fading profiles.


• Studying the impact of high launch power on the system reach and performance.

The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

Job requirements

About the ideal candidate:

• Currently enrolled in Master’s/PhD program in Electrical Engineering program or equivalent.


• Solid background in non-coherent optical fiber transmission and reception.


• Deep understanding of direct-detection systems, transceiver limitations, and noise penalties (e.g., RIN, thermal noise, shot noise).


• Familiarity with programming languages like Matlab and/or Python.


• Excellent interpersonal skills and ability to work effectively in a team.


• A publication record on similar topics is an asset.


• Applicants must be enrolled in a co-op program and be registered for an official co-op work term for the full duration of the employment period.

Additional Information:

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.