Propulsion Analysis Engineer

About Rocket Factory Augsburg

At Rocket Factory Augsburg (RFA) we have one goal: create low-cost, flexible and reliable access to space. We specialize in the creation of small launcher solutions designed for deploying satellites into Low Earth Orbit (LEO) and beyond. Together with you, we want to revolutionize space services and help enhance life on Earth. Sounds interesting? Then join our journey and be part of the team leading the New Space movement in Europe!

Your Tasks

• Develop and refine models to estimate the performance of rocket engines and subsystems.
• Validate and correct models using test data, ensuring accuracy and reliability.
• Create procedures and develop software tools to streamline the pipeline from engine test to analysis and model verification.
• Provide support to the propulsion team in engine test analysis, helping to interpret and extract insights from test data.
• Take ownership of the rocket engine subsystems, ensuring their continuous improvement and optimization.
• Generate comprehensive technical reports detailing modeling methodologies, analysis results, and recommendations.
• Collaborate with cross-functional teams, including propulsion engineers and data scientists, to enhance the overall understanding of engine performance and optimize design decisions.
• Stay up-to-date with the latest advancements in numerical modeling, data analysis techniques, and machine learning relevant to propulsion systems.

Your Qualifications

• Bachelor's or Master's degree in Aerospace Engineering, Engineering, or a related discipline. PhD on related disciplines is a plus.
• Minimum of 2 years of work experience in space propulsion systems, focusing on engine modeling or test data analysis.
• Strong understanding of compressible and incompressible flow, thermodynamics, thermochemistry, mechanics, and pressurized components.
• Excellent knowledge of propulsion-related physics and their application in modeling and analysis.
• Proficiency in engineering-related programming languages, such as Python, for numerical modeling and data analysis tasks.
• Familiarity with advanced data analysis techniques and machine learning algorithms is a plus.
• Fluent in English, both oral and written, as all day-to-day activities are performed in English.
• Self-motivated, independent, and able to work in a fast-paced environment with a structured approach.

We offer

• Atmosphere: Experience life in an international & dynamic New Space start‑up
• Flexibility: Fit your working schedule to your needs with flexible working hours
• Home Office: Full‑time employees benefit from 1 day per week home office
• Health: Sweat, stretch or squat it out with EGYM Wellpass
• Paid Time Off: 30 days annual leave and special leave days
• RFA Family: Join regular company and team events
• Parking: Free parking for car and bike