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 the Lead Engineer for Low Observability Calculations, you will own and execute the high-fidelity RCS simulation workflow, from building and meshing complex analysis models to running extensive sweep campaigns on high-performance computing clusters. Your primary objective is to generate critical signature data and hot-spot analyses to lead trade studies and directly influence the low-observable design of the airframe, antennas, and other key features. Furthermore, you will lead all supplier activities for RCS calculation and testing, and be responsible for the vital correlation of simulation results with physical measurement data to validate your models.
The day-to-day
Run and own high-fidelity RCS simulations using MoM + MLFMM (and supporting solvers) for airframe and payload-driven signature topics.
Execute Physical Optics (PO) analyses (and extensions like PTD/UTD/edge diffraction where applicable) for electrically large structures and fast-turn trade studies.
Build and maintain analysis models: CAD cleanup/defeaturing, material assignment (PEC/dielectrics/RAM), boundary conditions, and excitation setups (monostatic/bistatic, polarizations).
Create, inspect, and optimize meshes (triangular surface meshes, local refinement on edges/gaps/cavities), ensuring convergence and numerical stability.
Perform sweep campaigns (frequency, aspect, polarization) and generate deliverables: RCS polars, hot-spot maps, contribution breakdowns, and sensitivity studies.
Diagnose solver issues: convergence, conditioning, mesh quality, resonances/cavity modes, and numerical artifacts; implement remediation strategies.
Drive signature-reduction trade studies with structures/LO teams: edge treatments, apertures/radomes, gaps/seams, inlets/cavities, antennas, and fairings.
Correlate and validate simulation results against range/anechoic measurements when available; quantify error bars and document assumptions/limitations.
Optimize workflows for HPC execution: job scripting, memory/time scaling, domain decomposition, and result post-processing automation.
Produce program artifacts: analysis plans, model configuration records, verification notes, and clear decision-ready reports for design reviews.
Lead supplier activities for RCS calculation and RCS testing.
You should apply if you
Hold a relevant degree in Aerospace Engineering, Electrical Engineering, Systems Engineering, or a related field.
Have experience doing computational EM / RCS analysis for aerospace or similarly complex platforms.
Have strong, practical experience with MoM/MLFMM and PO (PTD/UTD/diffraction methods a plus) and know when to use which.
Are proficient in meshing and CAD-to-solver workflows, including diagnosing mesh/geometry-driven numerical problems.
Can run large sweeps on HPC and understand solver scaling, convergence controls, and performance tuning.
Have experience with materials/RAM modeling, radome/dielectric effects, and polarization/aspect-dependent phenomena.
Can communicate results as design guidance (hotspot attribution, sensitivities, trade-offs) rather than “just plots.”
Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
**Join Helsing and work with world-leading experts in their fields **
Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about
What we offer
A focus on outcomes, not time-tracking
Competitive compensation and VSOP options
Relocation support
Social and education allowances
Regular company events and all-hands to bring together employees as one team across Europe
Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.
Helsing's Candidate Privacy and Confidentiality Regime can be found here .