About the role You will play a critical role in advancing our Modeling and Simulation (M&S) capabilities by integrating AI‑enabled models that support complex wargaming and operational decision-making for the DoW. Using core software engineering principles, you’ll support the design, development, and deployment of scalable simulation components, create realistic behavioral and environmental models, and integrate diverse data sources to drive high‑fidelity outcomes. You’ll collaborate closely with analysts, domain experts, network orchestrators, and other engineers to ensure that models accurately represent real‑world conditions and interact within evolving mission needs. As part of this effort, you’ll apply full‑stack engineering skills to shape the technical vision for next‑generation M&S systems by evaluating new frameworks, enhancing simulation performance, and implementing architectures that support future extensibility through a federation of tools. Your contributions will directly influence how clients explore scenarios, assess alternatives, and derive insights from complex simulation environments. Join us. The world can't wait. Requirements Experience developing software in Java, C++, C, or C# Experience with version control, documentation practices, and GitLab workflows Experience working in Linux environments Knowledge of the Distributed Interactive Simulation (DIS) networking protocol Ability to write clean, efficient source code for new applications and enhance existing codebases Ability to support the evaluation, selection, and integration of M&S tools TS/SCI clearance HS diploma or GED Nice If You Have Experience integrating M&S tools into synthetic training environments Experience working within SOF communities Experience building and managing containers Experience building DevSecOps environments or pipelines Knowledge of scenario development and analytical assessments of combat weapon systems using Live, Virtual, and Constructive (LVC) simulation tools Knowledge of COTS and GOTS M&S and data tools such as the Modern Air Combat Environment (MACE), Mission Object Configuration Tool (MOCT), Virtual Reality Scene Generator (VRSG), and various Image Generators (IG) for data transformation, configuration, and standardization Ability to distill, summarize, and communicate complex technical insights related to model library management and dissemination 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. Benefits 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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.
