V&V Engineer
GE Vernova · Posted Oct 30
Power generation, wind turbine, grid solution, and electrification services
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About the role
GE Vernova's AI/ML team develops and supports AI/ML-enabled software solutions used in commercial products and internal processes. The V&V Engineer defines, executes, and maintains verification and validation activities to ensure these systems are robust, reliable, scalable, and compliant with quality expectations. The role works with software engineers, data scientists, product managers, and domain experts to validate functional, performance, and business requirements before deployment.
What you will 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.
Skills used in this role
What the employer is looking for
- 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.
Benefits and support
- Relocation assistance
About GE Vernova
GE Vernova Inc. is a global energy company that provides equipment, services, and software to generate, transfer, orchestrate, convert, and store electricity. Operating through its Power, Wind, and Electrification segments, the company supports a broad customer base across more than 100 countries in powering economies and driving the energy transition. Formed as part of the strategic spin-off of General Electric's energy portfolio, GE Vernova is dedicated to electrifying and decarbonizing the world.
- Industry
- Energy
- Company size
- 75000+ employees
- Founded
- 2024
- Location
- Cambridge, Massachusetts, USA
- Funding stage
- Public Company
Leadership
Chief Executive Officer and President
Stephen F. Angel
Chairman of the Board
Lola Lin
Chief Legal Officer and Secretary
Roger Martella
Chief Corporate Officer, Chief Sustainability Officer & Head of Global Government Affairs
Eric Gray
CEO, Power Segment
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