Modeling & Simulation Engineer - Digital Twins

Redwire Space

• $85K — $150K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Engineering, Systems Engineering, Mechanical Engineering, Computer Science, Physics, Applied Mathematics, or related STEM field.
  • 1-5 years of experience in building physics-based models or simulation engines.
  • Proficiency in MATLAB/Simulink, Python (NumPy/SciPy/JAX), or C++ for numerical modeling.
  • Experience with MBSE, SysML, or digital-thread methodologies.
  • Ability to design and validate simulation architectures and system-level integrations.
  • Experience creating and evolving digital twins for mission systems.
  • Knowledge of integration methods, control theory, estimation, orbital mechanics, or multi-domain modeling.

Responsibilities

  • Develop and enhance simulation models for mission analysis and system design.
  • Design and maintain digital twins for spacecraft and mission systems.
  • Architect simulation frameworks including component models and system-level integration.
  • Implement numerical and multi-domain models using physics-based computation.
  • Perform virtual integration and verification & validation for simulation components.
  • Evaluate system performance using defined metrics and simulation-based criteria.
  • Collaborate across engineering disciplines to align simulation outputs with mission needs.

Benefits

  • Opportunity to work on cutting-edge aerospace and defense projects.
  • Collaborative work environment with cross-functional teams.
  • Access to advanced simulation tools and technologies.
  • Professional development opportunities in modeling and simulation.
  • Potential for travel to support mission-critical projects.
Full Job Description
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).


Pay Rate

$85,000 - $150,000/year

How We Determine What We Pay (Compensation Philosophy)
Redwire determines pay for positions using local, national, and industry-specific survey data, for our locations throughout the US. We will evaluate external equity and the cost of labor/prevailing wage index, in the relative marketplace for jobs directly comparable to jobs within our company.
For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant's level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. An employee/candidate with a stronger skill set will receive higher pay.

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