Applied Operations Research Engineer

Hi, I'm Erik, CTO at Circonomit. We build the decision platform industrial companies use to plan their production. The toughest challenges we're facing:

• A model that answers for one site has to keep answering across twelve, over more periods and harder constraints. And a hundred customers have to solve at once without noticing each other.
• Our engineers, and eventually our customers, should build and extend models without you in the room. That means deciding where the abstraction belongs and what the modeling vocabulary has to cover.
• When the honest answer is "impossible", the planner still needs something usable: which rules collide, and what it would cost to bend one.

I need someone to own the engine our models run on: decide how it gets built, build it, keep it running.

Our models decide what gets produced when, on which machine, and at what stock level. The engine sits between the mathematics that makes the answer correct and the product that has to make it usable by people who are not mathematicians.

We came out of RWTH research, raised €2.8M with Vorwerk Ventures, and have customers running on our models today. Small team, Cologne office.

Requirements

• You have modeled and shipped combinatorial optimization in industry (MILP, CP, or both), with models that ran on messy data and real users.
• Recent, substantial hands-on experience writing and operating production Python: tests, t