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Senior Scientific Software Engineer — Simulation and Machine Learning

Constructor Labs • Germany

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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. <h2>Mission</h2> 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. <h2>Responsibilities</h2> Pillar 1 Simulation Engine <ul> <li>Build and maintain high-performance simulation code for open and closed quantum systems.</li> <li>Own the differentiable simulation and automatic differentiation layer.</li> <li>Drive performance. This code runs inside optimisation loops and speed decides what is possible.</li> <li>Maintain and extend the Julia core and its Python interface.</li> </ul> Success Metrics and KPIs: simulation accuracy against measurement, runtime performance, API stability. Pillar 2 Model Learning and Optimisation <ul> <li>Implement parameter inference and model learning from experimental data.</li> <li>Work on neural-network approaches to PDE solving and equation discovery.</li> <li>Benchmark against established academic tools and publish the comparison.</li> </ul> Success Metrics and KPIs: benchmark results, methods adopted by the research group, publications. Pillar 3 Research Collaboration <ul> <li>Work with Constructor University faculty on joint research and grant applications.</li> <li>Supervise graduate students and interns working on the engine.</li> <li>Contribute to course material on numerical simulation and machine learning for physics.</li> </ul> Accountability: research collaborations initiated and sustained; students productive. <h2>Requirements</h2>…