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CAD Modeling and Simulation Engineer

SAIC
Posted 7 months ago, valid for 19 days
Location

Chantilly, VA 20153, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • SAIC is looking for a CAD Modeling and Simulation Engineer to support a government customer in Chantilly, VA, requiring a Bachelor's or Master’s degree and 5+ years of professional experience.
  • The role involves expertise in CAD and Modeling and Simulation topics, including 3D modeling, structural analysis, and performance simulation.
  • Candidates should have at least 3 years of experience in aerospace modeling and simulation, alongside proficiency in CAD tools like SolidWorks or Creo.
  • An active Top Secret/SCI w/Poly Clearance is required, as well as intermediate Python programming skills for automation and data analysis tasks.
  • The position offers a competitive salary, although the specific amount is not detailed in the job listing.

SAIC is seeking an experienced CAD Modeling and Simulation Engineer to support a government customer in Chantilly, VA. The successful applicant will demonstrate adaptability in task execution and provide technical expertise across a variety of Computer-Aided Design (CAD) and Modeling and Simulation (M&S) topics, including 3D modeling, design visualization, structural analysis, and simulation of system performance. In this role, the successful candidate may also assist with Systems Engineering activities (e.g., requirements, configuration management, readiness, verification and validation, etc.) to ensure the effective integration of CAD models within broader simulation and analysis frameworks. As a trusted advisor, the candidate will be expected to deliver thoughtful recommendations and offer value-added insights to the customer on program objectives, cutting-edge design technologies, and system optimization. The successful candidate will produce technically sound, actionable, and consistent deliverables aligned with the organization’s goals and objectives, particularly in the realm of CAD modeling and simulation.

  • Develop and maintain physics-based simulation models of spacecraft systems, including structures, sensors, and mission environments.
  • Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models.
  • Create and modify CAD-based satellite geometries, including material property assignments for use in thermal, structural, and radar/optical signature analyses.
  • Conduct sensor phenomenology studies, including optical, infrared, or radar modeling for detection, tracking, and signature analysis.
  • Perform orbital mechanics modeling including orbit determination, orbital maneuvering, and spacecraft flight dynamics.
  • Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools.
  • Collaborate with multidisciplinary teams (systems engineering, GNC, payload, mission design) to ensure model fidelity and consistency.
  • Generate technical documentation, simulation reports, and visualizations to communicate findings and support design decisions.
  • Support trade studies and design reviews by providing modeling insights into performance impacts of design changes.


  • Bachelor's or Master’s degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field with 5+ years of professional technical experience.
  • 3+ years of experience in modeling and simulation for aerospace or space systems.
  • Active Top Secret/SCI w/Poly Clearance.
  • Proficiency with CAD tools (e.g., SolidWorks, Creo, CATIA, NX, or similar) including geometry creation and material property definition.
  • Strong understanding of sensor phenomenology-such as optical, infrared, or radar systems and associated modeling methods.
  • Intermediate Python programming experience, demonstrated through hands-on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial.
  • Ability to communicate technical results clearly in written and verbal formats.



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