What are the responsibilities and job description for the Modeling, Simulation and Analysis SME position at ROI Services LLC?
Job Summary:
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.
Key Responsibilities:
- 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.
Requirements
Required Qualifications:
- 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, DevSecOps 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.
Clearance Requirement
- Must have an Active Top Secret Clearance with SCI eligibility.
Salary : $175,000 - $230,000