Propulsion Engineer developing analytical and AI-driven tools to model rocket motor behavior at aerospace company. Collaborating with engineers to enhance performance and expedite design workflows.
Responsibilities
**What you'll do**
Design, develop, and maintain analytical software tools to model rocket motor performance, internal ballistics, and system-level behavior
Develop and validate data-driven models using simulation results and experimental test data
Collaborate closely with propulsion and systems engineers to translate engineering requirements into robust, usable software tools
Create scalable and reusable Python-based libraries for analysis, modeling, and visualization
Implement AI-integrated frameworks, including neural networks, surrogate models, and regression-based approaches, to accelerate design and analysis workflows
Support uncertainty quantification, sensitivity studies, and design space exploration using automated and AI-assisted methods
Document software tools, modeling assumptions, and validation results to ensure traceability and long-term usability
Continuously improve tool performance, usability, and reliability based on user feedback and evolving project needs
Requirements
**What You’ll Need**
Bachelor’s or Master’s degree in Software Engineering, Aerospace Engineering, Mechanical Engineering, or a related field
1–3 years of professional experience in software development, scientific computing, or data analysis
Strong proficiency in Python, including experience with scientific and data-focused libraries (e.g. NumPy, SciPy, pandas, PyTorch, TensorFlow, scikit-learn, or similar)
Experience developing analytical models, simulation tools, or data-driven applications
Solid understanding of numerical methods, modeling, and algorithm development
Ability to write clean, maintainable, and well-documented code
Strong analytical mindset and willingness to learn complex physical systems
Background or hands-on experience in rocketry, propulsion, or aerospace systems, is a plus.
Nice to have familiarity with rocket motor physics, internal ballistics, or thermofluidic, would be considered a plus.
Experience with surrogate modeling, reduced-order models, or physics-informed machine learning, would be considered a plus.
Experience with version control (e.g. Git) and collaborative software development workflows, would be considered a plus.
Benefits
**Why Join Us?**
**✨ The Thrill of the Future – Work on cutting-edge projects that redefine aerospace.** ✨ Global Innovation Hub – Collaborate with top engineers from all over the world.** ✨ Fast-Paced & High-Growth – Experience the rush of working in a rapidly expanding company.** ✨ Real Impact – Your work won’t be theoretical—it will shape the future of flight.**
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