SW Engineer - Production Cost

GE Vernova is seeking a Software Engineer to advance their long-term power system planning software, focusing on production cost modeling. The role involves developing advanced capabilities to inform investment decisions for generation, transmission, and storage while collaborating with power system experts and software engineers.

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