Optical Test Automation Co-op/Intern

Job description

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.

Responsibilities

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.

Qualifications

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.