Teams at IQM Quantum Computers

Develop production-ready Python libraries for quantum benchmarking and error mitigation. Convert R&D prototypes into scalable tools, validate on real quantum hardware, maintain CI/CD pipelines, and collaborate cross-functionally to ensure software quality and integration with IQM's stack.

Hands-on calibration and benchmarking of superconducting QPUs: develop and optimize calibration protocols, analyze experimental data to find bottlenecks, iterate with design and fabrication teams, support automated tune-up software and QPU deployment, and collaborate across hardware and software teams to improve system-level performance.

Partner with R&D and engineering to own project cost visibility, budgeting, forecasting, financial modeling, and grant compliance. Monitor spend vs budgets, identify variances and risks, improve R&D financial processes, and support strategic decision-making across development programs.