Modeling and Simulation Engineer Job Listing at SAIC in Chantilly, VA (Job ID T2510923)

Description

Description

SAIC has need for a Modeling and Simulation Engineer  to support a rapidly expanding Government Intelligence Community (IC) customer with cutting-edge programs within the National Reconnaissance Office (NRO) in Chantilly, VA.

Note:  The role offers a flexible work schedule, but we ask our team to be available for team meetings during core business hours (10:00 a.m. – 3:00 p.m.).

As the Modeling and Simulation Engine, you will provide technical expertise on a variety of Modeling and Simulation (M&S) topics, including system performance modeling, design analysis, scenario development, and data visualization. You may also assist with Systems Engineering topics (e.g., requirements, configuration management, readiness, verification and validation, etc.) to ensure comprehensive continuity across multiple program activities. As a trusted advisor, you will be required to deliver value-added judgment and provide well-informed recommendations to the customer on program objectives, technical strategies, and system capabilities. 

Job Duties to include:

• 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

Required Education and Experience:

• Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field with 5+ years of professional technical experience
• Active Top Secret/SCI w/Poly Clearance.
• 3+ years of experience in modeling and simulation for aerospace or space systems.
• 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.