DMU (Digital Mock-Up) Engineer

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

As DMU Engineer, you will own the complete Digital Mock -Up for Helsing's complex drone systems, governing spatial integration across structural, mechanical and electrical subsystems. Working at the centre of cross-functional engineering activity, you will drive clash resolution, enforce modelling standards and lead 3D design reviews that determine configuration maturity.

The day-to-day

• Build, maintain and govern the complete DMU for complex drone systems, performing regular clash, clearance and interference analyses across structural, mechanical and electrical subsystems, and driving the resolution of spatial conflicts before they reach hardware

• Organise and lead cross-functional 3D design reviews using the DMU as the authoritative integration baseline, providing quantitative assessments of design maturity that directly inform programme milestone decisions

• Ensure accurate space allocation, packaging and routing integration for wiring harnesses, piping and payloads within the vehicle envelope, simulating virtual assembly sequences to validate tool accessibility and maintainability for production and field operations

• Track, analyse and report critical physical vehicle properties, including weight, centre of gravity and mass inertia, providing stakeholders with timely, accurate data that informs configuration trade-off decisions

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