Simulation Engineer - Space

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers.

We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

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. Engineering and programme decisions rest on them, so they must run fast, state their limits honestly, and earn the trust of the people who depend on them.

You will also contribute to mission and system design, and work with partners and suppliers whose models, hardware, and interfaces sit inside the same simulation.

• 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.

• 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.

Note:

We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

• 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…