Industrial Engineer - Optimization

We are seeking a self-motivated, intellectually curious industrial engineer trained in mathematical optimization to contribute to our ongoing development of optimization algorithms and software. The candidate will focus on data pipelines and building mathematical models to be developed and integrated into our engineering software.
Expertise in the full range of techniques for nonlinear programming, branch and bound, general mixed-integer programming, stochastic programming, and global optimization is especially desired. Excellent skills in mathematical programming tools such as Gurobi, CPLEX, SCIP is needed. Excellent programming skills in Python, Java, or C-language is also needed.
Intermediate English skills required.
Responsibilities
Support and partner with clients and team members.
Analyze and interpret processes and data pipelines.
Develop and refine optimization models for production management.
Enhance methods for handling decision-making under uncertainty (e.g., robust/stochastic optimization) and integrate probabilistic demand forecasts into optimization workflows.
Refine pricing and algorithmic strategies to enhance revenue.
Explore and apply the latest developments in optimization research methods that hold promise.
Act as a automation optimization subject matter expert for external stakeholders.