Lead Systems Engineer - LO Calculations & Supplier Parts

1 нед. назад

ГерманияLeadOnsite

radar cross sectionsimulationhigh performance computingmodelingdata analysis

Lead engineer managing radar cross section simulation workflows and supplier activities for low observability calculations in defense AI.

О компании

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.

Обязанности

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.
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

Будет плюсом

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.

Условия

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
's Candidate Privacy and Confidentiality Regime can be found here .

Другое

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
’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: 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, 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 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