Modeling and Simulation Engineer Security Clearance

Position: Modeling and Simulation Engineer with Security Clearance
Description SAIC is seeking a Modeling and Simulation Engineer to support a customer in Chantilly, VA. The successful candidate will:
* 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.
* 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. Qualifications
* Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field with 5+ years of professional technical experience
* 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.
* 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 Num Py, Sci Py, pandas, and matplotlib is beneficial.
* Ability to communicate technical results clearly in written and verbal formats.