Algorithm Developer

About the role

You will own the optimization models for an Energy OS that manages energy assets for large European companies. This role involves end-to-end responsibility for capacity expansion planning, dispatch, and production scheduling, reporting directly to the CTO. You will bridge the gap between complex mathematical models and real-world plant operations.

Responsibilities

• Own capacity expansion planning over multi-year horizons, dispatch at quarter-hour resolution, and MIP production scheduling.
• Formulate models for storage, thermal networks, transmission, flexibility, and self-consumption.
• Optimize model performance by tightening big-Ms, scaling models, and deciding on decomposition strategies.
• Implement smart data reduction techniques including time series clustering and segmentation.
• Model grid fees, levies, tariffs, and balancing power constraints.
• Develop test cases and fixtures to ensure model accuracy and diagnose infeasibility.
• Define inputs and outputs with product engineers and manage model runs on Kubernetes.

Required skills

• Mathematics
• Operations Research
• LP
• MILP
• Julia
• Python
• C++
• JuMP
• Gurobi
• HiGHS
• Data Engineering
• CI/CD
• Version Control
• Claude Code

Nice to have

• Stochastic optimization
• Robust optimization
• Benders decomposition
• Column generation
• Unit commitment
• Energy market modeling

Qualifications

• Degree in mathematics, operations research, computer science, physics, energy systems engineering, business mathematics or a comparable STEM qualification

Benefits

• Equity
• Venture capital network access
• Mentoring
• Workation
• Urban Sports Club membership

About the Company

RIZM provides an Energy OS that acts as a digital twin for energy sites, helping large companies optimize their energy assets through planning, dispatch, and automated agents.