Space Modeling Simulation & Analysis Specialist

The Space Modeling, Simulation & Analysis Specialist will lead efforts to develop, implement, and analyze advanced modeling and simulation (M&S) solutions to support space system programs for Department of Defense (DoD) and Intelligence Community (IC) missions. This role involves applying cutting-edge simulation tools and analytic methodologies to model space environments, mission scenarios, system performance, and operational effectiveness.

The ideal candidate will possess extensive technical expertise in M&S tools, data-driven analysis, and system optimization specific to space systems, including satellites, payloads, orbital mechanics, and space operations. The Space M&S Specialist will collaborate with engineers, program managers, and government stakeholders to influence technical decisions and ensure mission success through comprehensive analysis and actionable insights.

Contract Overview:

Golden Dome is a national-level, whole-of-nation initiative in which you will play a critical role in advancing next-generation homeland defense capabilities. If you are seeking a fast-paced position focused on developing innovative software for the Space-Based Interceptor mission, this opportunity is designed for you.

Responsibilities:

• Design and develop modeling and simulation architectures for space systems, including satellite platforms, payload integration, ground systems, and orbital mechanics.
• Perform mission scenario modeling to analyze system performance, operational effectiveness, and capability optimization in contested environments.
• Utilize advanced M&S tools (e.g., STK, MATLAB, Simulink, AFSIM) to simulate mission scenarios, predict outcomes, and assess system readiness.
• Conduct trade studies, sensitivity analyses, and assessments to evaluate technologies, configurations, and operational strategies.
• Develop and implement algorithms for mission planning, situational awareness, and system optimization within a dynamic space environment.
• Analyze data from simulations and experiments to inform design decisions, reduce risk, and prioritize program requirements.
• Collaborate with multidisciplinary engineering teams to integrate M&S solutions into program workflows and decision-making processes.
• Provide technical expertise for government stakeholders during reviews, audits, and program documentation submissions.
• Prepare and deliver comprehensive reports, visualization tools, and presentations to communicate analytical findings to program leaders and decision-makers.
• Stay abreast of emerging technologies, methodologies, and space operational threats to refine and advance M&S capabilities.

Qualifications:

• Bachelor's degree in Aerospace Engineering, Systems Engineering, Physics, Mathematics, or a related technical field (Master's degree preferred).
• Minimum of 10 years of experience in modeling, simulation, and analysis for space systems, preferably supporting Department of Defense (DoD) or Intelligence Community (IC) programs.
• Extensive experience utilizing M&S tools for satellite systems, payload performance, ground systems integration, and orbital mechanics.
• Proven ability to deliver actionable analytical insights to influence technical design decisions and operational strategies.

Clearance:

• Active Top Secret clearance with Sensitive Compartmented Information (TS/SCI).

Technical Skills:

• Expertise in M&S platforms such as STK, MATLAB, Simulink, AFSIM, or equivalent tools.
• Strong programming skills (e.g., Python, C++, or MATLAB) for algorithm development and custom simulation creation.
• Knowledge of space systems engineering, mission planning, and space domain awareness.

Desired Qualifications:

• Master's degree in Aerospace Engineering, Systems Engineering, Mathematics, or related disciplines.
• Certifications in modeling and simulation or relevant analytical fields (e.g., Certified Modeling and Simulation Professional).
• Experience conducting M&S for advanced technologies, including directed energy systems, autonomous platforms, or multi-domain operations.
• Familiarity with adversarial threats to space assets, including electronic warfare, cyber threats, and counterspace operations.
• Knowledge of machine learning, AI techniques, and predictive analytics as applied to space operations modeling.

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