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Junior Verification Engineer
Nokia
IND
Full-time
Entry · 3–5 years experience
Onsite
Discovered 2 weeks ago
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About the Role
As a Junior Verification Engineer, conducts target-oriented research to directly apply findings to the specification, design, further development, and incremental improvement of products, services, systems, tools, and processes. Integrates, verifies, tests, and modifies software, hardware, and system components while leveraging innovative solutions to meet specific requirements and specifications.
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Responsibilities
- Developed comprehensive test plans and test cases for optical system features to ensure high product quality.
- Executed functional and system-level tests, identified defects, and reported bugs using defect tracking tools.
- Collaborated with architects and developers to analyze issues, verify fixes, and ensure successful resolution.
- Developed and maintained automated test scripts to improve test efficiency and coverage.
- Built and enhanced AI-assisted verification frameworks for intelligent test execution and validation.
- Created data pipelines and analytics dashboards to convert test results into actionable quality insights.
- Designed, validated, and optimized optical networking test scenarios for platform and service assurance.
- Applied machine learning techniques to predict potential failures, identify quality risks, and support continuous quality improvement.
- - Developed comprehensive test plans and test cases for optical system features to ensure high product quality. - Executed functional and system-level tests, identified defects, and reported bugs using defect tracking tools. - Collaborated with architects and developers to analyze issues, verify fixes, and ensure successful resolution. - Developed and maintained automated test scripts to improve test efficiency and coverage. - Built and enhanced AI-assisted verification frameworks for intelligent test execution and validation. - Created data pipelines and analytics dashboards to convert test results into actionable quality insights. - Designed, validated, and optimized optical networking test scenarios for platform and service assurance. - Applied machine learning techniques to predict potential failures, identify quality risks, and support continuous quality improvement.
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