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From the employer's careers site First seen 2 Nov 2026

Systems Engineer - Space

Helsing Munich Hybrid senior full-time

The employer hasn't listed a salary.

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Description

Job Overview

As a Systems Engineer - Space at Helsing, you will play a crucial role in turning mission and spacecraft design problems into models, tools, and trade studies for the constellation programme. You will act as a technical expert on satellite and mission design, challenging partner and supplier designs alongside your own analysis work.

Responsibilities

  • Run mission analysis for constellation design, including orbit selection, revisit and coverage, or launch and disposal.
  • Own requirements flowdown, system budgets (mass, power, link), and interfaces between segments.
  • Build and maintain analysis tooling to production standards.
  • Act as a technical expert for satellite system design, including subsystems.
  • Drive trade studies across subsystems and segments, presenting results to internal teams, partners, and customers.

Requirements

  • Master's or PhD in aerospace engineering, physics, or a related field, with hands-on work on at least one flown or near-flight space programme.
  • Fluency in orbit mechanics and mission analysis, with tools such as GMAT, FreeFlyer, STK, or Orekit.
  • Working grasp of spacecraft systems engineering across requirements, budgets, interfaces, and verification.
  • Recognised depth in at least one subsystem, such as AOCS and GNC, propulsion, power, thermal, or TT&C and RF.
  • Several years of production-grade software work in a large, shared codebase, with code review, continuous integration, testing, and documentation.
  • Strong mathematics and physics skills, including linear algebra, numerical methods, and error budgets.
  • Fluent in English and German.

Nice to Have

  • Optimisation background: convex and mixed-integer methods, evolutionary or heuristic approaches, or trajectory and scheduling optimisation.
  • Model-based systems engineering, such as SysML or Capella, or digital twin experience.
  • Machine learning applied to engineering problems, such as surrogate models for costly simulations.
  • Earth observation, SAR, or ISR mission experience.
  • Familiarity with ECSS standards and requirements management tooling.

Benefits

  • Competitive salary and VSOP options
  • Relocation support: up to €2,500 and 4 weeks temporary accommodation
  • Learning: €500/£450 yearly allowance
  • Health & wellness: gym membership and mental health support (Nilo.health)
  • Social: regularly company events and monthly social allowances
  • Enhanced parental leave: 22 weeks fully paid for primary caregivers & 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

Skills

Required

Nice to have

  • optimisation
  • model-based systems engineering
  • machine learning
  • earth observation
  • SAR
  • ISR mission experience
  • ECSS standards

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/helsing/jobs/4972262101

Apply on Helsing