The posting, in Helsing's own words
archived Oct 7, 2026Who 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 the Lead Engineer for Low Observability Calculations, you will direct the high-fidelity Radar Cross Section (RCS) simulation workflow, from constructing complex analysis models to managing extensive sweep campaigns on high-performance computing clusters. Your primary objective is to generate critical signature data and hot-spot analyses to guide trade studies and shape the low-observable design of the airframe, antennas, and other key features. You will oversee all supplier activities for RCS calculation and testing, taking responsibility for the vital correlation of simulation results with physical measurement data to validate your models and ensure robust outcomes.
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The day-to-day
Direct high-fidelity RCS simulations using MoM and MLFMM for airframe and payload-driven signature topics Implement Physical Optics analyses for electrically large structures and fast-turn trade studies Construct and maintain analysis models, managing CAD cleanup, material assignment, boundary conditions, and excitation setups Create and optimise triangular surface meshes to ensure convergence and numerical stability Conduct sweep campaigns across frequency, aspect, and polarisation to generate actionable deliverables including RCS polars and sensitivity studies Diagnose and resolve solver issues such as convergence, mesh quality, and numerical artefacts Guide signature-reduction trade studies collaboratively with structures and low-observability teams Correlate simulation results against range and anechoic measurements, quantifying error bars and documenting assumptions Optimise workflows for high-performance computing execution to automate result post-processing Produce comprehensive program artefacts and clear, decision-ready reports for design reviews Coordinate supplier activities for RCS calculation and testing