Simulation Engineer

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.

At Helsing we use simulation to train and test autonomy at scale, long before anything touches real hardware. You will be part of a team that owns a system for simulating large-scale 3D worlds containing hundreds of actors, rendered in real time.

You will work on the internals of the simulation stack, including modelling of vehicles and other actors, integration of high-fidelity models from domain experts, sensor and environment simulation, networking, and interfacing with other components in a distributed system.

• Building and maintaining simulation platform internals: subsystem architecture, replication and multiplayer, performance profiling, and the interfaces used by other systems to orchestrate simulation.

• Composing simulated platforms from sensor, communications, situational awareness, effector, and control-loop models, and reasoning about the underlying physics such as flight dynamics, rigid-body behaviour, collision, and line of sight.

• Owning the trade-off between fidelity, throughput, and engineering cost, choosing the right point for each use case and validating the result against subject matter experts, integration tests, or downstream outcomes.

• Integrating 3D models, animations, and effects from our Content Engineers into the simulation.

• Investigating simulation bugs in order to bridge the gap from our simulation to a reference model.

The day-to-day

You will write production code that shapes both the simulation platform and the models running inside it, and you will decide how each piece of work is validated.

You will also translate mission requirements from subject matter experts into reusable simulation models, and make sure those models remain useful to the teams using simulation as part of their stacks.

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