Modeling and Simulation Engineer

Booz Allen Hamilton; Colorado Springs (CO); On-site; USD 87,000 - 198,000; Full time

Job summary

Booz Allen Hamilton is seeking a Modeling and Simulation Engineer to design and tailor software using Java, C++, and Python for USSF modeling, wargaming, and force design. You will build and maintain core simulation tools, ensuring efficient, reliable performance across the C2 analysis suite.

Collaborate with analysts and engineers to translate data findings into scalable software features, prototype innovations, and optimize data exchange between interfaces, while leveraging Git workflows and

Qualifications

• 3+ years in Java, C++, C, or Python.
• 3+ years analyzing structured and unstructured data.
• Proven ability to write clean, efficient source code.
• Experience building high-fidelity models in AFSIM/NGTS/ITASE.
• Knowledge of Git workflows for collaboration.
• Active TS/SCI clearance; willing to take a polygraph.
• Bachelor's degree.

Responsibilities

• Design and tailor software for modeling and wargaming.
• Build and maintain core simulation tools for the C2 suite.
• Analyze data to inform software development choices.
• Prototype new features and optimize runtime performance.

Skills

Java/C++/Python

Data analysis

Version control

Modeling/Simulation

Clearance TS/SCI

Education

Bachelor's degree

Master's degree

Tools

AFSIM

NGTS

ITASE

Job description

Modeling and Simulation Engineer

The Opportunity: Design and tailor software solutions using high-level programming language such as Java, C++, and Python to inform modeling, wargaming, operational concepts and force design recommendations for the United States Space Force (USSF). Build and maintain core simulation tools that underpin the entire command and control (C2) analysis suite. Generate clean, efficient code to integrate new analytic models and behaviors, and improve existing codebases, ensuring optimal software performance and reliability. Perform thorough analysis of both structured data such as databases, spreadsheets, and quantitative datasets and unstructured data including text documents, sensor outputs, and system logs to inform essential software development choices and ensure the accuracy of models utilized in USSF simulation activities. Leverage advanced data mining and machine learning techniques to extract actionable insights, identifying patterns and anomalies that influence modeling, simulation, and operational concepts. Collaborate with cross-functional teams, research analysts, and operational C2 subject matter experts to translate complex data findings into scalable, reliable software features. Prototype innovative software features and optimize simulation tools to ensure software solutions are robust, adaptable, and aligned with the evolving needs of the USSF. Implement and ship modular software updates, optimize simulation runtime performance, and ensure smooth data exchange between C2 software interface and backend simulation logic. Leverage experience with version control systems, documentation practices, and Git workflows to maintain collaborative project environments.

You Have

• 3+ years of experience developing software in Java, C++, C, or Python


• 3+ years of experience analyzing structured and unstructured data sources


• Experience generating clean, efficient source code for new applications and enhancing existing codebases


• Experience building high fidelity models within environments such as AFSIM, NGTS, or ITASE


• Knowledge of version control systems and Git workflows to manage collaborative projects


• Active TS/SCI clearance; willingness to take a polygraph exam


• Bachelor's degree

Nice If You Have

• Experience with tools such as AnyLogic or ExtendSim


• Experience with visualization packages, including Plotly, Seaborn, or ggplot2


• Knowledge of National Security Space systems and architectures


• Master's degree in Physical Science, Engineering, Physics, Mathematics, Operational Research, or Computer Science

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.

About Booz Allen

Booz Allen is an advanced technology company. We build commercial-grade products and solutions for America’s most critical defense, civil, and national security priorities.

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.

Know Your Rights Poster Accommodations

Applicants who need a reasonable accommodation for any part of the application, hiring, or employment process because of a disability, a sincerely held religious belief, practice, or observance, or as otherwise required by applicable law should contact the Booz Allen Help Desk by calling 1-877-927-8278 or sending an email to [e-mail]. We will review requests on an individualized basis and provide reasonable accommodations consistent with applicable law.

Data Privacy

For more information on how Booz Allen uses your information, please see our Careers Privacy Policy.