Modeling, Simulation and Analysis SME

The MS&A Engineer SME provides expertise in high-fidelity Modeling, Simulation, and Analysis (MS&A) and advanced tools such as AFSIM to deliver benchmarking results and optimize mission-critical systems across multi-domain environments. This role combines data-driven systems analysis, algorithm development, and simulation validation to enhance decision‑making and operational performance for national security programs.

The ideal candidate is a systems engineer and analyst with hands‑on experience designing, developing, and integrating MS&A models to support lifecycle planning, predictive analytics, and mission validation using state‑of‑the‑art simulation environments.

• Develop and implement strategies to integrate Model‑Based Systems Engineering (MBSE), digital twins, and advanced simulation tools into engineering workflows.
• Lead the evaluation, selection, and deployment of digital engineering platforms and technologies.
• Collaborate with cross‑functional teams to align engineering initiatives with organizational goals.
• Provide mentorship and training to engineering teams to enhance their digital engineering proficiency.
• Stay at the forefront of industry trends and emerging technologies to ensure the organization remains competitive.
• Establish and enforce best practices, standards, and processes for systems engineering and digital engineering.
• Document and deliver simulation results, technical approaches, and process insights to program stakeholders and mission partners.

• 12+ years of experience in Modeling, Simulation, and Analysis (MS&A) for high‑fidelity mission‑critical operations.
• Proficiency in AFSIM, MATLAB, Python, or other advanced simulation tools to deliver validated models and benchmarking analysis.
• Expertise in systems design, lifecycle analysis, and probabilistic reasoning frameworks for mission prediction and assessment.
• Familiarity with data‑driven digital engineering methodologies, including simulation readiness, Dev Sec Ops  workflows, and secure data pipelines.
• Strong ability to communicate simulation results and algorithms with leadership and cross‑functional teams.
• Bachelor’s degree in Engineering, Operations Research, Systems Analysis, Physics, or related technical fields required. Master’s degree preferred.

• Must have an Active Top Secret Clearance with SCI eligibility.