Senior Optimization Engineer

We are looking for a passionate and skilled Optimization Engineer to join our team at Flower, a leading company in battery storage and energy markets. As a Senior Optimization Engineer, you will design and advance cutting-edge optimization models to drive efficiency and revenue across multiple energy markets.

Requirements

• Master’s or PhD in Operations Research, Computer Science, Industrial Engineering, Applied Mathematics, Engineering Physics, or a related quantitative field
• 5+ years of professional experience developing and deploying production-grade optimization models in commercial or research settings
• Proven expertise in applying advanced MILP optimization techniques
• Solid theoretical foundation and ability to translate mathematical concepts into practical, high-performance optimization systems
• Strong proficiency in Python and experience developing production-quality optimization code within complex systems
• Experience developing test methodologies for optimization solutions
• Skilled communicator, able to present technical concepts with clarity to both technical and non-technical stakeholders, and influence decision-making
• Hands-on experience with mathematical modeling libraries (e.g., Pyomo, SciPy, OR-Tools) and solvers (e.g., Gurobi, HiGHS, SCIP, CPLEX, GLPK)

Benefits

• Flexible work model
• In-office collaboration and hybrid work model
• English-speaking corporate language
• Diverse group of innovative individuals with a strong desire to improve the state of the world