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Listing evidence and provenance
- Source
- Workday View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 30, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
- Pay provenance
- Pay not available
Job Description
V&V Engineer in AI/ML team will be responsible for defining, executing, maintaining verification and validation activities for AI/ML-enabled software solutions used in commercial products and internal processes.
Key Responsibilities
- Define and implement verification and validation strategies for AI/ML software solutions across the development lifecycle.
- Collaborate with software engineers and data scientists to understand system architecture, model behaviour, and technical requirements to develop effective test approaches.
- Work closely with cross-functional teams to translate business and product requirements into validation plans, test cases, and acceptance criteria.
- Develop, execute, and maintain test protocols covering functional, integration, system, regression, and performance testing.
- Validate AI/ML models and software components against expected behaviour, accuracy, robustness, and operational requirements.
- Contribute to the development of internal tools, test frameworks, and automated validation processes to improve efficiency and repeatability.
- Support root cause analysis and problem resolution for defects identified during development, integration, and product introduction.
- Stay up to date with the latest trends and technologies in software quality assurance, AI/ML validation, and test automation.
- Support Senior Engineers to safeguard design qualities through rigorous verification and validation activities.
- Maintain an active role in product introduction, cost improvements, schedule adherence, and problem resolution to meet business needs.
- Ensure adherence to engineering development methodologies, including Agile and the New Product Introduction (NPI) / OTR processes.
- Maintain high standards of test quality, traceability, and documentation, ensuring requirements are properly verified and validated.
- Participate in technical reviews and contribute to the definition of validation criteria, test strategies, and release readiness assessments.
- Implement best practices for software verification, test automation, defect tracking, and validation reporting.
- Develop technical competencies by contributing to structured test and validation methodologies, standards, and best practices for AI/ML software.
- Support the creation and continuous improvement of reusable test assets, validation templates, and documentation standards.
- Foster a collaborative and inclusive team environment. Encourage continuous learning and development within the team.
- Support knowledge sharing across engineering teams on verification, validation, quality, and release readiness practices.
Requirements
- Bachelor or Master of Science in Computer Science, Software Engineering, Electrical Engineering, Systems Engineering, Mathematics, or related field.
- Minimum 3-5 years of relevant experience in software verification, validation, quality assurance, or test engineering in an industrial or technology environment.
- Strong understanding of software development lifecycle, testing methodologies, and defect management processes.
- Experience with test planning, test execution, test automation, and requirements traceability.
- Knowledge of Agile development methodologies and New Product Introduction (NPI) processes.
- Strong analytical and problem-solving skills with ability to investigate, document, and resolve technical issues.
- Strong oral and written communication skills.
- Experience validating AI/ML-enabled software systems, including model performance, data quality, and robustness considerations.
- Experience with scripting or programming languages such as Python.
- Experience with test automation frameworks and CI/CD environments.
- Familiarity with cloud environments such as AWS or Azure.
- Ability to work across organizations in a matrix environment.
- Experience with requirement management and defect tracking tools.
- Strong interpersonal skills and ability to collaborate with software engineers, data scientists, and business stakeholders.
Ready to Apply?
Apply directly on GE Vernova's site
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