Modeling & Simulation Engineer (Systems Engineer, Sr)

Responsibilities

• Develop and enhance simulation models supporting mission analysis, system design, and digital-engineering workflows.
• Design and maintain digital twins for spacecraft, vehicles, and mission systems, including data-driven updates and configuration management.
• Architect simulation frameworks including component models, interfaces, scenario generation, and system-level integration.
• Implement numerical and multi-domain models using physics-based computation and advanced simulation techniques.
• Perform virtual integration and V&V for simulation components and end-to-end system behavior.
• Evaluate system performance using defined metrics, technical performance measures, and simulation-based criteria.
• Collaborate across engineering disciplines to align simulation outputs with mission, product, and system-design needs.
• Communicate technical results through documentation, design artifacts, and presentations for reviews and proposals.

Requirements

• STEM foundation — Bachelor’s degree in Engineering, Systems Engineering, Mechanical Engineering, Computer Science, Physics, Applied Mathematics, or related STEM field.
• Modeling & simulation development — 1–5 years building physics-based models or simulation engines.
• Physics-based computation — Proficiency with MATLAB/Simulink, Python (NumPy/SciPy/JAX), or C++ for numerical modeling and system dynamics.
• Digital engineering & MBSE — Experience applying MBSE, SysML, or digital-thread methodologies.
• Simulation architecture — Ability to design and validate simulation architectures and system-level integrations.
• Digital twins & digital threads — Experience creating and evolving digital twins for mission systems.
• Interface design & simulation — Ability to model and simulate system and subsystem interfaces.
• Numerical methods — Knowledge of integration methods, control theory, estimation, orbital mechanics, or multi-domain modeling.
• Verification & validation — Experience with virtual integration and V&V of simulation components.
• Performance evaluation — Ability to define and assess simulation-based performance metrics.
• Cross-functional collaboration — Ability to work with systems, software, mission analysis, and UI/UX teams.
• Technical communication — Skilled in presenting simulation results and design artifacts.