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:&nbsp;</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</strong></p>
<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>
<p><em>Accountability: research collaborations initiated and sustained; students productive.</em></p>
<h2>Requirements</h2>
<p><strong>Experience</strong></p>
<ul>
<li>PhD or equivalent in physics, applied mathematics or computational science.</li>
<li>Strong scientific computing in Julia, Python, JAX or comparable.</li>
<li>Real numerical depth: ODE solvers, optimisation, stochastic processes, automatic differentiation.</li>
<li>Published work, or code that others rely on.</li>
</ul>
<p><strong>Skills &amp; Competencies</strong></p>
<ul>
<li>Able to take a method from a paper and make it fast, tested and usable.</li>
<li>Comfortable owning code quality, not only correctness.</li>
<li>Interest in supervising students alongside the engineering.</li>
<li>Clear technical writing.</li>
</ul>
<p><strong>Education &amp; Languages</strong></p>
<ul>
<li>PhD in physics, applied mathematics or computational science.</li>
<li>Fluent English.</li>
</ul>
<h2>What This Role Is (and Is Not)</h2>
<p><strong>This role IS</strong></p>
<ul>
<li>A research-grade engineering role with a product at the end of it.</li>
<li>Central to the group's core technical asset.</li>
<li>A role with a route into teaching and supervision if you want it.</li>
</ul>
<p><strong>This role is NOT</strong></p>
<ul>
<li>A pure research position without delivery.</li>
<li>A general software engineering role.</li>
<li>A role where someone else owns the numerics.</li>
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