[Hiring] Founding Optimization Engineer @planqor.ai

Role Description

Build the algorithmic core of planqor.ai: the real-time decision layer that steers discrete manufacturing when production plans get disrupted.

• Work directly with our CTO and shape the optimization architecture on a greenfield: custom algorithms, heuristics, OR and simulation, fast C++ with Python on top.
• We are building the layer that takes over when the plan gets disrupted, connecting to factory data, modeling production, detecting disruptions and bottlenecks, simulating responses, and recommending the best one.

Qualifications

• Strong modern C++ and performance engineering.
• Real experience solving optimization problems.
• Systems thinking.
• Python for experimentation and data analysis.
• Empirical engineering judgment.
• Independence.
• Fluent English; German and experience in manufacturing or industrial planning are useful but not required.

Requirements

• Design how planqor.ai represents, propagates and optimizes schedules, resources and constraints, and how it repairs them when disruptions hit.
• Make it fast: profile and optimize the C++ core and expose it cleanly.
• Build the benchmarks, instances and experiments that show what actually works and where it fails.
• Work with our systems engineer to turn algorithms into decisions planners trust.
• Grow into leading optimization at planqor.ai as we scale: hiring, mentoring, setting direction.

Benefits

• Ownership: shape the optimization architecture from line one, working directly with our CTO.
• A clear growth path into leading the optimization team.
• A real problem worth solving.
• We equip you with the hardware, compute and tools you work best with.
• Remote-first or from our Munich office, with regular in-person workshops.
• Competitive pay + VSOP.