Lead Systems Engineer - LO Calculations & Supplier Parts AI & Engineering Munich

Helsing GmbH; München; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Relocation support

Learning allowance

Gym membership

Mental health support

Social events

Parental leave

Remote work option during pregnancy

Job summary

Helsing GmbH seeks a Lead Engineer for Low Observability Calculations to direct high-fidelity RCS simulations, from model construction to large HPC sweeps. You will correlate simulation results with measurements, guide trade studies, and oversee supplier activities for RCS calculation and testing.

Ideal candidates hold a degree in aerospace or related engineering fields and have hands-on experience with MoM/MLFMM and Physical Optics, applying each method as needed to deliver robust, actionable

Qualifications

• Degree in Aerospace Engineering, Electrical Engineering, or Systems Engineering.
• Delivered computational EM and RCS analysis for aerospace platforms including materials and radome modelling.
• Proficiency with MoM/MLFMM and Physical Optics, knowing when to apply each.

Responsibilities

• Direct high-fidelity RCS simulations for airframe and payload topics.
• Implement PO analyses for large structures and fast-turn studies.
• Build and maintain analysis models, manage CAD cleanup and boundary conditions.
• Create triangular meshes and ensure convergence and stability.
• Run large sweep campaigns across frequency, angle, and polarization.
• Diagnose convergence, mesh quality, and artefacts in solvers.
• Coordinate supplier activities for RCS calculation and testing.
• Produce decision-ready reports for design reviews.

Skills

MoM/MLFMM knowledge

Physical Optics methods

Meshing & CAD-to-solver workflows

High-performance computing

Results communication & reporting

Education

Degree in Aerospace/Electrical/Systems Engineering

Tools

MoM/MLFMM tools

CAD software

Job description

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 managersWe 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.

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

You should apply if you

• Hold a degree in Aerospace Engineering, Electrical Engineering, Systems Engineering, or a related discipline

• Have delivered computational electromagnetic and RCS analysis for complex aerospace platforms, including materials and radome modelling

• Possess practical expertise with MoM/MLFMM and Physical Optics methods, demonstrating when to apply each

• Are proficient in meshing and CAD-to-solver workflows, capable of diagnosing and resolving geometry-driven numerical problems

• Can coordinate large sweeps on high-performance computing clusters, applying an understanding of solver scaling and convergence controls

• Communicate complex results effectively to provide clear design guidance, hotspot attribution, and trade-offs

Nice to have

• Understand extensions such as PTD, UTD, and edge diffraction methods

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

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health and wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers and 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

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.