Modeling & Simulation Engineer – Quantum Hardware (f/m/d)

Hamburg, Hamburg, Germany February 25, 2026

eleQtron develops and operates full-stack quantum computers based on trapped-ion technology. Quantum computing is a new computing paradigm rapidly approaching commercial viability. Our unique approach combines laser-cooled trapped ions with microwave control and tailored magnetic fields. Our next-generation computing machines under development will be able to find solutions to problems that are out of reach today, thus enabling new innovative products and services for a brighter future.

We are looking for a Simulation Engineer (f/m/d).

 

Responsibilities:
As a Simulation Engineer (f/m/d), you will model, simulate, and optimize ion trap systems. The role involves high-accuracy simulations of electrostatic, RF, magnetic, and microwave fields, as well as ion shuttling dynamics and trapping potentials, using COMSOL Multiphysics. You will collaborate closely with interdiscplinary quantum engineers to translate physical designs into validated simulation models, guiding device development and workflow integration that support the company’s scaling strategies toward fault-tolerant quantum computing.

Electromagnetic & Field Simulations

  • Model static and time-dependent electrostatic potentials of segmented ion traps

  • Simulate RF (Paul trap) fields and derive effective (pseudopotential) trapping potentials 

  • Compute magnetic field distributions, including gradients and field stability

Simulate microwave field distributions for qubit control and coupling
Ion Dynamics & Transport

  • Simulate single- and multi-ion dynamics in time-dependent potentials

  • Analyze ion shuttling protocols, including transport speed, motional excitation, and heating

  • Evaluate stability regions, secular frequencies, and micromotion effects

Modelling & Analysis

  • Develop parameterized COMSOL models to explore design trade-offs

  • Extract physical quantities (trap depths, frequencies, field homogeneity)

  • Validate simulation results against analytical models and experimental data

  • Automate simulation workflows where appropriate (e.g. via COMSOL LiveLink)

Collaboration & Documentation

  • Interface with experimental and theoretical teams to refine trap designs

  • Clearly document simulation assumptions, methods, and results

  • Provide actionable design recommendations based on simulation outcomes

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