Optical Test Automation Co-op/Intern

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.

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.

Some of our benefits for students in Canada:

• Flexible and hybrid working schemes to balance work and life
• Professional development events and networking opportunities
• Campus perks designed to make your student experience enjoyable and social, such as access to an onsite cafeteria, free employee parking, complimentary fitness centre, and sports facilities (volleyball, basketball, pickleball courts, ping pong, and employee leagues)
• Well-being programs, including Personal Support Service 24/7 – a confidential support channel open to all Nokia employees and their families in challenging situations
• Opportunities to join Nokia Employee Resource Groups (NERGs) and connect with people who share your passions and values
• Employee Growth Solutions, mentorship programs, and coaching support for your career development
• A learning environment that fosters both personal growth and professional development – for your role and beyond

Disclaimer for US/Canada

Nokia maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.

All North America job posts will post for a minimum of 3 calendar days and up to 180 days or until candidate/s identified.

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.

Learn more about life at Nokia.

Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.