Optical Test Automation Co-op/Intern

Description du poste:

Position: Optical Test Automation Co-op/Intern
Number of Position(s): 1
Duration: 8-12 Months
Date: Winter 2027 (Starting January 4th)
Location: Onsite, Ottawa, Ontario, CANADA
EDUCATIONAL RECOMMENDATIONS
Currently a candidate for a Bachelor's degree or College Diploma in Electronic and Communication Engineering, Physics, Photonics, Electrical Engineering, or a related field with an accredited institution.

What you will do:
* Support optical system verification testing activities for Nokia networking solutions.
* Maintain and enhance optical testbeds to support testing requirements and project objectives.
* Execute test plans and document results for system validation activities.
* Develop and maintain Python-based automation tools for test execution, data collection, and reporting.
* Automate data extraction, cleansing, and analysis processes to improve test efficiency.
* Utilize AI-powered tools to support prediction, analysis, and classification of test results.
* Work with IQNOS and GX line system platforms and various optical laboratory instruments.
* Analyze test outcomes and prepare presentations and technical summaries to communicate findings.
* Collaborate with team members to troubleshoot issues and support continuous improvement initiatives

Profil requis du candidat:

You Must Have:
* Basic understanding of fiber optics and optical fiber communication technologies.
Programming experience with Python.
* Exposure to laboratory environments involving fiber optics, photonics, or optical communications.
* Understanding of automation concepts and Python-based development.
* Strong communication skills with the ability to present technical information effectively.
* Ability to work collaboratively in a team environment.
* Self-motivated and proactive approach to learning and problem-solving.
It Would Be Nice If You Also Had:
* Knowledge of Machine Learning and Neural Network concepts.
* Coursework or project experience in Fiber Optics, Optoelectronic Devices, Quantum Electronics, Machine Learning, or Neural Networks.
* Familiarity with predictive data analysis techniques.
* Experience with automated data cleanup and analytics frameworks.
* Exposure to AI tools and technologies used for engineering analysis and automation.
* Experience working with optical communication systems, testing environments, or related laboratory equipment