The Opportunity:

Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact on aerospace and national defense? You understand your customer’s environment and how to develop the right systems for the mission. Your ability to translate real-world needs into technical solutions makes you an integral part of delivering a customer-focused engineering solution. 

As an engineer on our team, you’ll have the chance to shape the development of systems across multiple defense, civilian, and space domains by supporting advanced system design, testing, and evaluation by combining physics-based modeling, AI/ML techniques, and platform engineering expertise. This role ensures models run efficiently across cloud and on-premises environments while integrating into federated digital engineering ecosystems. 

Your customer will trust you to not only design and develop these solutions, but also evolve them with advanced technology. On our team, you’ll be able to broaden your skillset into areas like model-based design, model-based systems engineering, digital engineering, and technical analysis. Grow your skills by merging technical engineering expertise and modeling and simulation (M&S) to create digital engineering solutions that drive missions. 

Join us. The world can't wait. 

You Have:

• 3+ years of experience developing high-fidelity physics-based models and simulations 

• Experience with UML, SysML, or UAF tools such as Enterprise Architect, MagicDraw, or Rational Rhapsody 

• Experience with requirements and architecture development across the systems development lifecycle 

• Experience integrating models and simulations within an orchestration pipeline 

• Experience with technical mentorship and collaboration with multi-disciplinary teams to ensure robust, scalable, and secure M&S environments 

• Experience performing analysis studies in an M&S environment 

• Secret clearance

• Bachelor’s degree in an Engineering, Science, or Technology field 

Nice If You Have:

• Experience with design of experiments, ANOVA, and other statistical tests 

• Experience with computational or agent-based modeling and ML integration 

• Experience with Python, C++, or C# for simulation workflows 

• Experience with the Ansys Software Suite, including Model Center, STK, and ODTK

• Experience in defense M&S or mission engineering programs 

• Experience leading validation, testing, and evaluation by benchmarking against ground-truth data and quantifying resilience under contested conditions 

• Knowledge of platform engineering, including deployment of workloads across cloud such as AWS, Azure, or Cloud One, and on-premises HPC clusters 

• Knowledge of multi-domain operations, including air, land, sea, space, and cyber 

• Knowledge of DevSecOps practices such as CI/CD pipelines, containerization, or orchestration 

• INCOSE Systems Engineering Professional Certification such as CSEP or ASEP Certification

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.

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.