Optical Test Automation Coop/ Intern

Position: Optical Test Automation Co-op/Intern
Number of Position(s): 1
Duration: 8 - 12 months
Date: Starting January 4th,2027
Location: Onsite, Ottawa, CANADA

EDUCATIONAL RECOMMENDATIONS

Currently a candidate for a Bachelor's degree in Electrical & Computer Engineering, Computer Engineering, Software Engineering, or a related field with an accredited institution.

As a part of our team, you will:

• Improve and extend Python-based test automation frameworks used for validating optical transceiver hardware and system-level performance.

• Apply AI tools (e.g., Cursor AI, GitHub Copilot, LLM-based agents) to accelerate automation development, code review, and test result analysis.

• Interface directly with optical test hardware — including instruments such as optical spectrum analyzers, tunable lasers, variable optical attenuators, and high-speed bit-error-rate testers.

• Develop and enhance workflow automation for test execution pipelines, data collection, and reporting.

• Investigate test failures and anomalies, performing root cause analysis on both software and hardware layers.

You Have:

• Strong programming skills in Python, including writing clean, modular, and maintainable code.
• Strong analytical and problem-solving skills with the ability to identify root causes and develop effective solutions.
• Ability to work through complex technical challenges in a systematic manner.
• Strong communication skills and ability to collaborate effectively in a team environment.

• Demonstrated persistence, initiative, and ownership when working on technical projects.

Really Nice to have:

• Experience with test automation frameworks such as PyTest or Robot Framework.
• Familiarity with CI/CD tools and automated testing environments.
• Experience using AI-assisted coding tools such as GitHub Copilot, Cursor AI, or ChatGPT.
• Exposure to hardware interfaces and instrument communication protocols such as Serial, GPIB, or SCPI.
• Familiarity with Git, Jira, Confluence, or similar development tools.
• Coursework or project experience in signal processing, communications, optical networking, or photonic systems.
• Experience with Python data analysis libraries including pandas, NumPy, and matplotlib.
• Basic understanding of optical networking technologies and transceiver validation processes.