Quality Assurance Engineer – Optical Networks

Help shape the future of optical connectivity as a Quality Assurance Engineer in our Optical Networks R&D organization. You will join a multicultural, cross-functional Scrum team building advanced networking solutions for the AI-driven data center era, with quality embedded from requirements through delivery.
NILightpath
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Champion quality throughout the full product R&D lifecycle.
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Contribute actively to sprint planning, backlog refinement, daily scrums, reviews, and retrospectives.
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Collaborate with developers, product owners, and system architects to refine requirements, define acceptance criteria, identify risks early, and improve testability.
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Design, develop, and execute automated tests using Python and pytest, integrated into CI/CD pipelines and aligned with the team’s Definition of Done.
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Apply AI-assisted testing techniques, including test generation, synthetic test data, failure-pattern analysis, and coverage optimization.
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Continuously improve test strategies, automation frameworks, and Agile QA practices.
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BSc or MSc in Computer Science, Telecommunications, Physics, or a related technical field.
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Solid understanding of optical transmission fundamentals.
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Proficiency in Python-based test automation and CI/CD integration.
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Knowledge of or hands-on experience with AI/ML applications in software testing, such as AI-assisted automation, defect detection, test-result analysis, or coverage improvement.
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Excellent troubleshooting and problem-solving skills.
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Strong ownership, responsibility, and accountability.
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Clear communication and effective collaboration across teams.
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Fluency in written and spoken English.
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Nice to have: ISTQB certification.
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If you are passionate about quality, automation, and the potential of AI to transform testing, we would like to hear from you.