Senior Scientific Software Engineer — Simulation and Machine Learning

<p><strong>Location: </strong>Remote within Europe, with regular presence in Bremen</p> <p><strong>Direct Reports: </strong>None; supervision of students and interns</p> <p><strong>Working Model: </strong>Remote / hybrid. Regular time on-site in Bremen.</p> <h2>Mission</h2> <p>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.</p> <h2>Responsibilities</h2> <p><strong>Pillar 1 Simulation Engine</strong></p> <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> <p><em>Success Metrics and KPIs: simulation accuracy against measurement, runtime performance, API stability.</em></p> <p><strong>Pillar 2 Model Learning and Optimisation</strong></p> <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> <p><em>Success Metrics and KPIs: benchmark results, methods adopted by the research group, publications.</em></p> <p><strong>Pillar 3 Research Collaboration</stro