Scientific Software Engineer — Simulation and Machine Learning

Location: Remote within Europe, with regular presence in Bremen

Direct Reports: None; supervision of students and interns

Working Model: Remote / hybrid. Regular time on-site in Bremen.

Mission

Build the simulation and model-learning engine at the centre of Constructor's quantum software. The work is numerics-heavy: differentiable simulation of physical systems, inference of model parameters from experimental data, and optimisation at scale. The role sits between physics and engineering and requires genuine depth in both.

Pillar 1 Simulation Engine

Success Metrics and KPIs: simulation accuracy against measurement, runtime performance, API stability.

Pillar 2 Model Learning and Optimisation

Success Metrics and KPIs: benchmark results, methods adopted by the research group, publications.

Pillar 3 Research Collaboration

Accountability: research collaborations initiated and sustained; students productive.

Education & Languages

What This Role Is (and Is Not)

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This role is NOT