Modeling and Simulation Engineer

Job Number: R0227868

Modeling and Simulation Engineer
The Opportunity:
Are you looking to join a dynamic team supporting the U.S. Air Force as a Modeling and Simulation Engineer, where you'll help shape the future of operational readiness and training? In this role, you'll develop and integrate advanced modeling architectures, ensuring interoperability across simulation platforms and mission-critical systems. Your expertise will directly contribute to enhancing training, analysis, and decision-making capabilities across the Air Force enterprise.

As a Modeling and Simulation Engineer, you will design and implement advanced models to evaluate system performance and support strategic decision-making. You'll play a pivotal role in advancing the mission of the US Air Force by identifying system features and tactical approaches that enhance survivability and operational effectiveness within simulated environments. Your analytical work will support the acquisition community in making smarter, data-driven investment choices for next-generation warfare technologies. Along the way, you'll sharpen your abilities in critical thinking, data analysis, and operational assessment, while gaining hands-on experience in modeling and simulation of combat operations.

Join us. The world can't wait.

You Have:

• 3+ years of experience within Department of Defense simulation and training programs
• Experience with a variety of COTS and GOTS M&S and data science tools, including Modern Air Combat Environment (MACE), Mission Object Configuration Tool (MOCT), or Virtual Reality Scene Generator (VRSG)
• Experience with scripting or programming languages, including C, C++, MATLAB, or Python
• Knowledge of combat weapon systems, ground-based radar technologies, and surface-to-air platforms
• Knowledge of High-Level Architecture, Distributed Interactive Simulation, or Open Mission Systems standards
• Secret clearance
• Bachelor's degree in an Engineering, Applied Mathematics, or Computer Science Field
• IAT Level II Certification

Nice If You Have:

• Experience in multi-domain defense simulations, including air, space, missile defense, or cyber
• Experience supporting operational efforts through M&S development
• Experience working with large-scale distributed simulations
• Experience running and analyzing campaign or theater-level simulations
• Knowledge of AFSIM to perform operational analysis or modeling, and simulation for the DoD
• Top Secret clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $61,900.00 to $141,000.00 (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.