Model-Based Systems Engineer

Model-Based Systems Engineer

The Opportunity:

Develop, modify, and run high-fidelity simulations of space-related Command and Control (C2) programs to inform modeling, wargaming, operational concepts and force design recommendations for the United States Space Force (USSF). Identify elements of an entire C2 architecture and apply analytical methods and tools using Python, MATLAB, government software such as Advanced Framework for Simulation, Integration, Modeling (AFSIM), or other internal modeling and simulation platforms. Develop new tools, scripts, and simulator features to improve operational scenario generation, data analysis, and simulation capability. Analyze USSF designs, requirements, research system technical details, and trace existing models to understand strengths and limitations of software tools. Leverage expertise in space operations and joint operations to merge models into wargame simulations. Collaborate with subject matter experts specializing in Space Domain Awareness, Satellite Communications, and Orbital Warfare to develop comprehensive operational scenarios and detailed vignettes that systematically break down C2 architecture operations. Perform quantitative analysis of simulation outputs, Measures of Performance (MOPs), Measures of Effectiveness (MOEs), timelines, attrition, and mission outcomes.

You Have:

• 6+ years of experience using advanced analytical tools such as Python, MATLAB, or AFSIM
• 3+ years of experience in Orbital Warfare, Space Domain Awareness, Missile Warning, or Satellite Communications operations
• Experience developing MOEs, MOPs, and analytic frameworks for simulation activities
• Experience building adaptable software prototypes to construct operational scenarios and vignettes
• Knowledge of operational doctrine, and tactics, techniques, and procedures to inform scenario development
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree in Physical Science, Engineering, Physics, Mathematics, Operational Research, or Computer Science

Nice If You Have:

• Experience with USSF and DoW Force Design process, or Unified Combatant Command requirements
• Experience supporting USSF and other DoW space agency special access program activities
• Master's degree preferred; Doctorate degree a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.