Electronic Reliability Engineer Co-op (Winter 2027)

Job summary

The role involves investigating the durability and performance of electronic components and circuit boards through laboratory testing and data analysis. You will also transform reliability data into searchable knowledge repositories using Python and AI/RAG technologies.

Job details

As the global leader in high-speed connectivity, Ciena builds the critical infrastructure powering the AI era. We’re a technology company shaping the future of networking, guided by innovation, integrity, and collaboration. Through development opportunities, meaningful work, and flexibility, Ciena supports growth and well-being—on and off the job. Connect with a career that matters. The Opportunity: 4-month work term, starting in January 2027. Step into reliability engineering and contribute to evaluating the durability, performance, and lifespan of electronic components and circuit boards used in telecommunications technologies. The role combines hands-on laboratory testing, data analysis, and knowledge management using Excel, Python, and AI/RAG technologies. How you will make an impact: Investigate the durability and performance of discrete components and PCBAs through accelerated life testing and corrosion studies designed for harsh operating environments. Design and set up test circuits while monitoring critical electrical parameters and component behavior. Analyze the lifespan and reliability of electronic components on complex circuit boards using data-driven methodologies and Excel-based tools. Transform reliability data into accessible, searchable knowledge repositories using Excel, Python, and AI/RAG technologies. Gain hands-on experience in a collaborative lab environment, with onsite work at Ciena’s Ottawa campus required 3–4 days per week. The must haves: Education: Actively enrolled in a degree program in Physics, Electrical Engineering, Reliability Engineering, or a related discipline, Strong working knowledge of Excel, Excel VBA, and Python. Knowledge of Large Language Models (LLMs) and AI/RAG frameworks. Understanding of basic electronic circuits and electronic components. Experience using digital voltmeters (DVMs) and common laboratory instrumentation. Self-motivated, curious, and eager to learn. Strong communication and interpersonal skills and a collaborative mindset and passion for solving technical challenges. Nice to haves: Programming experience with JavaScript, Node.js, Git, Arduino controllers. Experience optimizing AI model performance, token consumption, and cost efficiency. Soldering experience. Understand electrical schematics. Pay Range: The hourly pay range for this position is $25.00 - $35.00 Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available. In addition to competitive compensation, Ciena offers students access to the Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation pay as required by applicable laws. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

What you’ll do

The role involves investigating the durability and performance of electronic components and circuit boards through laboratory testing and data analysis. You will also transform reliability data into searchable knowledge repositories using Python and AI/RAG technologies.

Requirements

Candidates must be actively enrolled in a degree program in Physics, Electrical Engineering, or a related discipline. Strong proficiency in Excel, Python, and knowledge of electronic components and laboratory instrumentation is required.

Benefits

• Employee Assistance Program
• Company-paid holidays
• Paid sick leave
• Vacation pay

Listed skills

• Node.js · Preferred
• Data analysis · Preferred
• Microsoft Excel · Preferred
• JavaScript · Preferred
• Git · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Excel
• Python
• VBA
• AI
• RAG
• Electronic circuits
• Digital voltmeters
• Laboratory instrumentation
• Data analysis
• Reliability engineering
• PCBAs
• Corrosion studies
• JavaScript
• Node.js
• Git
• Arduino
• Data Analysis
• Communication
• Reliability
• Electrical Engineering
• Curiosity
• Innovation
• Microsoft Excel
• Artificial Intelligence
• Interpersonal Communications
• Python (Programming Language)
• Willingness To Learn
• Self-Motivation
• JavaScript (Programming Language)
• Node.js (Javascript Library)
• Employee Assistance Programs
• Telecommunications
• Electronic Components
• Physics
• Knowledge Management
• Git (Version Control System)
• Reliability Engineering
• Large Language Modeling
• Electronic Circuits
• Printed Circuit Board
• Visual Basic For Applications
• Electrical Networks
• Soldering
• Laboratory Testing
• Laboratory Instrumentation
• Circuit Testing
• Voltmeter
• Electrical Parameters
• Accelerated Life Testing

Job areas

• Engineering
• Technology
• Science & Research
• Data & Analytics
• Reliability Engineer Co-Op
• Reliability Engineer
• Supply, Distribution and Related Managers
• Validation Engineers
• Industrial Engineers

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