Join Qutwo - Europe's private Quantum AI Lab, on our quest to bridge the gap between the classical and the quantum world. We partner with the most advanced and forward-thinking customers, solving fundamental real-world problems, side by side.
As an Operations Researcher or Engineer , you will develop, implement, and rigorously benchmark optimization solutions for real enterprise problems. You are expected to bring a blend of research excellence, practical implementation ability, and serve as a subject matter expert in optimization.
Requirements
- A strong track record of high-quality research and/or proven experience in optimization, demonstrated by publications or significant projects.
- Minimum of 5 years of relevant post-PhD experience (or equivalent experience after an MSc).
- Strong background in mathematical optimization, operations research, or applied mathematics.
- Strong programming skills in Python.
- Ability to work collaboratively and communicate effectively across disciplines, both internally and externally.
Experience in one or more of the following areas is a plus but not a requirement:
- Experience with QUBO formulations and quantum optimization approaches (QAOA, VQE, quantum annealing).
- Practical knowledge of one or more major quantum algorithm frameworks (Qiskit, Cirq, PennyLane).
- Rigorous benchmarking methodology — you understand when quantum provides genuine advantage and when it does not.
- Experience with hybrid quantum-classical architectures, including classical preprocessing or circuit simulation.
- Familiarity with quantum circuit optimization, error correction, or error mitigation techniques.
- Industry experience in optimization for finance, energy, logistics, or supply chain.
- Background in game theory or operations research.
