Modeling & Simulation Engineer (Systems Engineer, Sr)

Redwire Space

$90K — $130K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in STEM field (Engineering, Computer Science, Physics, etc.)
  • 1-5 years in modeling and simulation development
  • Proficient in MATLAB/Simulink, Python (NumPy/SciPy/JAX), or C++
  • Experience with MBSE, SysML, or digital-thread methodologies
  • Ability to design and validate simulation architectures
  • Experience creating and evolving digital twins for mission systems
  • Knowledge of numerical methods (orbital mechanics, control theory)
  • Strong technical communication skills.

Responsibilities

  • Develop and enhance simulation models for mission analysis and system design.
  • Design and maintain digital twins for spacecraft and vehicles.
  • Architect simulation frameworks for system-level integration.
  • Implement physics-based computation in numerical and multi-domain models.
  • Perform virtual integration and verification of simulation components.
  • Evaluate system performance using defined metrics and simulation criteria.
  • Collaborate cross-functionally to align simulation outputs with engineering needs.
  • Document and present technical results for reviews and proposals.

Benefits

  • Collaborative work environment across multiple engineering disciplines.
  • Opportunities for professional development and skills enhancement.
  • Engagement in cutting-edge aerospace and defense technology projects.
  • Dynamic and innovative company culture.
  • Potential for travel related to project requirements.
Full Job Description
The Modeling & Simulation Engineer is responsible for developing, integrating, and maintaining high-fidelity digital twins and simulation architectures that support the company's modeling, mission-analysis, and digital-engineering ecosystems. This role blends physics-based computation, systems-engineering discipline, and software-driven simulation development to ensure that digital twins, scenario models, and system-level simulations are accurate, scalable, and aligned with mission and product objectives. You will design and validate simulation components, implement numerical and multi-domain models, support virtual integration and V&V activities, and collaborate closely with systems engineers, software teams, mission analysts, and UI/UX partners to deliver coherent, data-driven simulation capabilities across aerospace and defense applications.

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.


Ideal Experience
  • 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.


Desired Skills
  • High-fidelity simulation tools - STK, GMAT, Orekit, Trick, Modelica, or similar frameworks.
  • Real-time & HIL simulation - Experience with real-time or hardware-in-the-loop environments.
  • HPC & GPU-accelerated workflows - Familiarity with CUDA, Vulkan compute, OpenCL, or HPC pipelines.
  • Graph-based data modeling - Knowledge of metadata lineage and digital-thread integration.
  • API integration - Experience integrating simulation engines with REST, gRPC, or GraphQL APIs.
  • Simulation visualization - Experience with Three.js, WebGL, React Three Fiber, or CesiumJS.
  • Aerospace & mission-system experience - Background in aerospace, defense, or high-integrity engineering.
  • MBSE tooling - Experience with Cameo, Teamwork Cloud, or similar tools.
  • Requirements management - Experience with Jama, DOORS, or comparable systems.
  • Systems engineering certifications - INCOSE ASEP/CSEP, OCSMP, or related credentials.
  • Travel readiness - Ability to travel 10-15% as required.
  • Security eligibility - U.S. Citizen; able to obtain and maintain DoD Secret clearance (TS/SCI preferred).


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