SW Engineer - Production Cost

GE Vernova is seeking a Software Engineer to enhance their power system planning software, focusing on production cost modeling. The role involves collaborating with experts to develop advanced capabilities for long-term investment decisions in generation, transmission, and storage, while ensuring software reliability and scalability.

Responsibilities:

• Design, implement, and maintain software modules for production cost planning, including generation, storage, and transmission operating decisions
• Support multi-region and inter-regional planning with long-term temporal and spatial resolution
• Implement and improve large-scale optimization models, develop approaches for scenario analysis, sensitivity analysis, and long-horizon uncertainty
• Build maintainable, well-tested, and well-documented code for production-grade planning tools
• Design modular architectures that allow new technologies, policies, and constraints to be added over time
• Improve runtime performance and memory efficiency for large datasets and long planning horizons
• Integrate capacity expansion results with downstream models
• Ensure data traceability and reproducibility of planning results
• Collaborate with domain experts to validate model behavior and assumptions
• Clearly communicate technical concepts and modeling results to both technical and non-technical stakeholders
• Contribute to documentation and user-facing explanations of model logic and limitations

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, Operations Research, or a related field
• Minimum 3 years of experience programming skills in Python, Java, C# or similar. Familiarity with software engineering best practices (version control, testing, code reviews)
• Must be willing to learn and develop software in Fortran
• Experience developing optimization-based models or large-scale analytical software
• Ability to work with large datasets and complex model inputs
• Experience with power system planning, energy markets, or grid modeling
• Familiarity with production cost, capacity expansion, resource adequacy, or long-term planning frameworks
• Knowledge of renewable energy, storage, transmission planning, or decarbonization policy