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Helsing

AI software and autonomous defense systems

Lead Systems Engineer - LO Calculations, Supplier Parts

RF & Microwave EngineeringConfirmed live in the last 24 hours
Full-timeMunich, GermanyNo salary listed

About the Job

Requirements

  • Hold a degree in Aerospace Engineering, Electrical Engineering, Systems Engineering, or a related discipline.
  • Have delivered computational electromagnetic and Radar Cross Section analysis for complex aerospace platforms, including materials and radome modelling.
  • Possess practical expertise with Method of Moments/Multilevel Fast Multipole Method and Physical Optics methods, demonstrating when to apply each.
  • Be proficient in meshing and computer-aided design-to-solver workflows, capable of diagnosing and resolving geometry-driven numerical problems.
  • Be able to 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.

Responsibilities

  • Direct high-fidelity Radar Cross Section simulations using Method of Moments and Multilevel Fast Multipole Method 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 computer-aided design 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 Radar Cross Section 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 programme artefacts and clear, decision-ready reports for design reviews.
  • Coordinate supplier activities for Radar Cross Section calculation and testing.

Desired Qualifications

  • Understand extensions such as Physical Theory of Diffraction, Uniform Theory of Diffraction, and edge diffraction methods.

About the Company

Helsing

AI software and autonomous defense systems

Helsing develops AI software and autonomous systems for democratic governments, covering air, land, sea, and sub-surface domains. Its software combines data from drones, radar, satellites, cameras and other sensors to create a real-time operational picture that helps commanders detect threats and move quickly, while keeping key decisions under human control. Its product lineup includes AI-enabled strike drones (HF-1 / HX-2) for contested environments and underwater surveillance systems (SG-1 Fathom) for critical infrastructure. Helsing collaborates with European armed forces and partners such as Saab, Airbus and Kongsberg, and has supported Ukraine since 2022. The company has raised large rounds of funding, with a focus on expanding AI platforms and autonomous systems for partner nations. Its goal is to provide robust, field-ready AI-powered platforms that enable faster, safer decision-making and action in defense while maintaining governance over critical choices.

Company size
501-1,000
Company stage
Series E
Total funding
$3.3B
Headquarters
Munich, Germany
Founded
2021

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