Sr. Optimization Engineer

Responsibilities

• Collaborate with product managers to understand program requirements and market rules
• Translate market and program requirements into DER scheduling and dispatch optimization models
• Develop constraints and penalty structures to guide heuristic behaviors
• Design, unit test, and document object-oriented Python code
• Write Python code to manipulate and analyze time-series data
• Collaboratively review and revise pull requests with team members
• Partner with the forecasting team on probabilistic forecasting and optimization approaches
• Contribute to the development and maintenance of simulation code used to evaluate algorithm performance and DER economics
• Conduct batch simulation experiments to tune models and parameters for maximum performance
• Troubleshoot optimizer software operational issues and use production data to improve algorithms
• Provide support to sales engineering and operations teams on optimizer configuration

Requirements

• 3+ years of industry experience developing optimization models for energy applications
• M.S. in Science, Engineering, Applied Mathematics, Operations Research, or equivalent combined education and work experience
• Experience with optimization modeling packages such as Pyomo, CVXPY, or solver APIs (Gurobi, CPLEX, Xpress)
• Strong theoretical background in Linear Programming, Mixed-Integer Programming, and Convex Optimization
• Strong foundation in linear algebra and statistics
• Experience using Python libraries for numerical methods and time-series analysis (NumPy, Pandas, SciPy)
• Experience working in a collaborative software development environment (Git, code reviews)
• Ability to write clean, maintainable, and production-ready code
• Ability to collaborate effectively with cross-functional engineering teams