About the job
Who We Are
Helsing is a pioneering defence AI firm dedicated to safeguarding democratic values. Our mission is to attain technological supremacy, ensuring that open societies are empowered to make autonomous decisions and uphold their ethical standards.
As advocates for democracy, we recognize our unique obligation to carefully consider the progression and application of impactful technologies like AI. We approach this duty with the utmost seriousness.
Our team consists of passionate engineers, AI experts, and dedicated programme managers. We seek mission-oriented individuals to enhance our European teams, employing their expertise to tackle the most intricate and significant challenges. We foster an open and transparent culture that encourages constructive discussions regarding the ethical dimensions and benefits of technology in defence.
The Role
In the capacity of Lead Engineer for Low Observability Calculations, you will oversee and implement the advanced RCS simulation workflow. This encompasses constructing and meshing intricate analysis models and conducting extensive sweep campaigns on high-performance computing clusters. Your main goal will be to produce essential signature data and hot-spot analyses that will guide trade studies and substantially impact the low-observable design of airframes, antennas, and other critical components. Additionally, you will manage all supplier-related activities for RCS calculations and testing, ensuring the crucial correlation of simulation outputs with empirical measurement data to validate your models.
Day-to-Day Responsibilities
Conduct and manage high-fidelity RCS simulations employing MoM + MLFMM (and associated solvers) for airframe and payload-driven signature analyses.
Perform Physical Optics (PO) studies (including extensions like PTD/UTD/edge diffraction when relevant) for large electrically significant structures and rapid trade assessments.
Develop and maintain analytical models: including CAD optimization, material assignment (PEC/dielectrics/RAM), boundary conditions, and excitation configurations (monostatic/bistatic, polarizations).
Create, review, and refine meshes (triangular surface meshes, localized enhancement on edges/gaps/cavities), ensuring convergence and numerical stability.
