Senior Scientific Software Engineer — Simulation and Machine Learning

Constructor Labs · Europe · Pubblicato il 14 ottobre 2026

Tempo pieno

Descrizione dell'offerta

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. Responsibilities Pillar 1 Simulation Engine Build and maintain high-performance simulation code for open and closed quantum systems. Own the differentiable simulation and automatic differentiation layer. Drive performance. This code runs inside optimisation loops and speed decides what is possible. Maintain and extend the Julia core and its Python interface. Success Metrics and KPIs: simulation accuracy against measurement, runtime performance, API stability. Pillar 2 Model Learning and Optimisation Implement parameter inference and model learning from experimental data. Work on neural-network approaches to PDE solving and equation discovery. Benchmark against established academic tools and publish the comparison. Success Metrics and KPIs: benchmark results, methods adopted by the research group, publications. Pillar 3 Research Collaboration Work with Constructor University faculty on joint research and grant applications. Supervise graduate students and interns working on the engine. Contribute to course material on numerical simulation and machine learning for physics. Accountability: research collaborations initiated and sustained; students productive. Requirements Experience PhD or equivalent in physics, applied mathematics or computational science. Strong scientific computing in Julia, Python, JAX or comparable. Real numerical depth: ODE solvers, optimisation, stochastic processes, automatic differentiation. Published work, or code that others

Dettagli

  • Azienda: Constructor Labs
  • Sede: Europe
  • Tipo di contratto: Tempo pieno
  • Fonte: arbeitnow
  • Valido fino al: 13 novembre 2026

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