Circuithub Software Engineer, Operations Research at CircuitHub builds models to optimize factory scheduling, pricing, and inventory decisions. The role involves developing models that run daily to support planning and quoting systems.
Responsibilities
CircuitHub builds circuit boards on demand, every order different. Each day thousands of decisions are made: which orders run on which machines, which parts to buy and when, what to promise a customer and what to charge. You'll build the models behind those decisions.
Plan the factory. Schedule orders, panels and machines across our factories for throughput and on-time delivery, and know days ahead when we will run out of work or capacity.
Model the Grid. The Grid is our factory-scale robot: dozens of movers, gantries, printers and ovens. Model how work flows through it, find the bottlenecks, and tell us what the next machine or change is worth.
Price and promise. Estimate what an order really costs in labour, machine time and parts, and help set prices and lead times that win work and make money.
Buy smarter. Decide what parts and consumables to stock, when to order them, and how much risk of a shortage to accept.
Put it into production. Your models don't live in a spreadsheet: they run every day, feed the planning and quoting systems, and get checked against what actually happened.
What we look for
A quantitative background in operations research, applied maths, statistics, quantitative finance, economics or a similar field, and a record of models that changed real decisions.
Optimisation: linear and integer programming, constraint programming, or heuristics, and judgement about when a simple rule beats a solver.
Simulation and forecasting: building a model of a messy system, calibrating it to data and saying how far to trust it.
Strong Python and SQL. You write code other people can run and rely on.
You use coding agents to move faster and take full ownership of what they produce.
Qualification
Experience with optimisationStrong Python and SQL skillsManufacturing experience
Required
Quantitative background in operations research, applied maths, statistics, quantitative finance, economics or similar
Record of models that changed real decisions
Experience with optimisation: linear and integer programming, constraint programming, or heuristics