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V&V Engineer

GE Vernova
Posted this week

LOCATION

Chennai · Onsite

EXPERIENCE

3 - 5 Years

TYPE

FullTime

SKILLS REQUIRED

System VerificationTest AutomationRequirements TraceabilityRegulatory ComplianceIntegration Testing

Job description

Overview

The V&V Engineer on the AI/ML team defines, executes and maintains verification and validation activities for AI/ML-enabled software solutions used in commercial products and internal processes, ensuring they meet functional, performance and business requirements before deployment.

What you'll do

  • 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.

What you'll need

  • 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.

Details

  • Relocation assistance provided.

Read the full description and apply on the company’s own careers page.

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V&V Engineer