Mission Analyst Engineer (m/f/d)

About the role

We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space. Our mission is to help democratise space and use it for good in order to imp

Requirements

• Experience in mission analysis, trajectory simulation, or related GNC/flightdynamics work.
• Practical experience with trajectory optimization frameworks, numerical solvers, and simulation environments, including problem formulations that enable coupled, multidisciplinary analysis.
• Familiarity with MonteCarlo methods, sensitivity studies, and statistical evaluation of mission outcomes.
• Background working with crossdisciplinary datasets (aero, propulsion, structural, environmental), integrating them within mission‑level or MDO‑style analysis workflows.
• Proficient with Python (MATLAB or other languages commonly used for data analysis are a plus)
• Skills & Competencies
• Strong analytical and mathematical modelling skills; able to develop and maintain reusable simulation workflows, including coupled, multidisciplinary problem formulations.
• Ability to work with MBSE‑aligned environments and multidisciplinary design optimization (MDO) toolchains (e.g., SysML, Valispace, ModelCenter, Ansys SAM, Flow, OpenMDAO, Isight or similar) to connect mission analysis with systemlevel architecture.
• Able to synthesize complex results into concise, decisionoriented documentation and presentations.
• Clear communication skills and the ability to coordinate independently and effectively with domain experts in propulsion, GNC, structures, fluids, and systems.
• Strong ownership mindset and commitment to delivering highquality results reliably and on time.
• Fluent in English (German is a plus)

Benefits

Additional Information

Mission Brief As a Mission Analyst in the Reusability Program, you model and optimize ascent, reentry, and recovery concepts for our next‑generation launcher. Initially supporting ESA reusability studies, you translate Spectrum test insights into mission‑level performance assessments and constraints. You run trajectory optimization and Monte Carlo analyses to de‑risk key design choices. Your results directly inform vehicle architecture, flight‑dynamics decisions, and broader program planning. Your Role in Our Space Mission Run end‑to‑end mission and trajectory optimization for ascent, reentry, and recovery scenarios, structuring problems for coupled multidisciplinary analysis and delivering actionable performance insights to inform system‑level decisions. Perform trajectory analyses and MonteCarlo simulations to assess sensitivity to dispersions, environmental variations, and vehicle uncertainties. Conduct mission planning and performance assessments for nearterm demonstrators and future HLV configurations. Develop and execute multidisciplinary design optimization (MDO) studies and design‑space exploration to integrate propulsion, aerodynamics, structures, mass properties, thermal constraints, GNC effects, and operational assumptions, comparing mission‑level outcomes across vehicle configurations, recovery concepts, and constraint sets to inform architectural trade‑offs. Maintain and evolve missionanalysis models and workflows, ensuring consistent, traceable, reproducible, and scalable setups and clean analysis outputs. Produce clear, highquality missionanalysis documentation for internal reviews and ESA deliverables. Coordinate missionrelated inputs with specialists in propulsion, structures, fluids, GNC, and systems, ensuring mission assumptions remain coherent and technically consistent. Support programlevel decisions by delivering structured results, scenario comparisons, and datadriven recommendations. Qualification Checklist Education & Technical Background Master's degree in aerospace, mechanical engineering, or an equivalent technical field. Solid theoretical foundation in flight mechanics, trajectory dynamics, orbital mechanics, and atmospheric flight. Understanding of reusability concepts for launch vehicles, including ascent-entry coupling and performance constraints, and their implications on multidisciplinary mission‑level trade‑offs.

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