About the company

Our client is a company that develops smart, data-driven solutions to streamline complex industrial
operations. As part of their growth, we’re seeking a highly skilled expert to design and implement mathematical solver solutions that tackle some of the most challenging optimization problems in manufacturing and logistics.

The Role

As an Expert in Mathematical Solvers, you will focus on modeling and solving real-world
combinatorial optimization problems. These include:
• Scheduling problems with precedence constraints, resource usage, and inventory production/consumption.
• Resource allocation under dynamic capacity limits.
• Order picking optimization in production or warehouse environments.
• Packing and knapsack-style problems involving weight, volume, or time constraints.

You will translate operational requirements into mathematical models, develop solver-based
solutions, and contribute to high-performance decision support tools.

Key Responsibilities

• Model complex scheduling and resource planning problems
• Apply constraint programming, MILP, or hybrid solving techniques
• Work with tools such as MiniZinc, OR-Tools, Gurobi, or custom-built solvers
• Collaborate with engineers and domain experts to validate and deploy models
• Optimize for performance, robustness, and scalability in real-world scenarios

Requirements

• Strong foundation in Operations Research, Computer Science, Applied Mathematics, or a related field
• Demonstrated experience in formulating and solving optimization problems
• Familiarity with solver environments (e.g., CP-SAT, Gurobi, MiniZinc, Pyomo, etc.)
• Ability to abstract and communicate complex systems clearly
• Strong coding skills and structured problem-solving mindset

Preferred Qualifications

• Experience with industrial scheduling, order fulfillment, or manufacturing logistics
• Knowledge of interval-based modeling and inventory/resource dynamics
• Exposure to hybrid approaches combining heuristics and exact methods

Why Work With Us?

• Solve meaningful, real-world problems with measurable business impact
• Work in a technically challenging, innovation-friendly environment
• Flexible, remote-friendly work setup with opportunities for growth

Interested?

Hit the apply button on this page.

We’re especially keen to hear how you’ve applied mathematical solvers to practical challenges.