Simulation Engineer - Space

You will build the simulation environments that support mission analysis for large satellite constellations, across hardware-in-the-loop and software-in-the-loop. These environments let us test constellation software and real hardware on the ground, at pace, before anything reaches orbit.

What you'll do

• Build and maintain the simulation environments behind large constellation mission analysis.
• Build hardware-in-the-loop rigs with real hardware in the loop, for example a flight computer or payload controller, and software-in-the-loop environments wired into our automated test and release pipelines.
• Model the relevant physics, for example orbital and attitude dynamics, sensors, actuators, thermal behaviour, and RF links, at the fidelity each question demands. Validate those models against test and flight data.
• Turn simulation results into trade studies, requirements evidence, and design recommendations the programme can act on.
• Work with partners and suppliers to integrate their models and hardware, agree the expected fidelity, and resolve the discrepancies that surface once everything runs together.

What you'll need

• Proven delivery of both software-in-the-loop and hardware-in-the-loop systems, including real hardware wired into a simulator.
• Strong physics and modelling judgement. You can defend a simplification and sense where a model stops being trustworthy.
• Several years of production-grade software work in a large, shared codebase, with code review, continuous integration, testing, and documentation. Python, plus at least one of Rust or modern C++.
• The ability to architect one environment that serves both fast batch runs and full-fidelity wall-clock validation, including the real-time and scheduling trade-offs involved.
• Confidence working across organisational boundaries, holding technical discussions with partners and suppliers, and explaining results, and their limits, to non-specialists.

Nice to have

• Optimisation background: design-space exploration, Monte Carlo and sensitivity analysis, trajectory or scheduling optimisation, or surrogate models.
• Space domain exposure: orbit propagation, six degrees of freedom attitude dynamics, closed-loop AOCS simulation, or ground station, inter-satellite link, and payload models.
• Distributed simulation standards, for example HLA, DIS, or FMI, or GPU and high-performance simulation.

What they offer

• Competitive salary and VSOP options
• Relocation support: up to €2,500 and 4 weeks temporary accommodation
• Learning: €500/£450 yearly allowance
• Health & wellness: gym membership and mental health support
• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers