Simulation Engineer - Space

Job description

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. The role 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. The day-to-day 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. You should apply if you 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++. <p data-renderer-start-pos="6654&