Aerospace Modeling & Simulation Engineer

Booz Allen Hamilton; El Segundo (CA); On-site; USD 62,000 - 141,000; Full time

Benefits offered by this job

Health benefits

Life/disability benefits

Tuition assistance

Professional development

Work-life programs

Dependent care

Recognition awards

Job summary

Booz Allen Hamilton in El Segundo, CA, seeks a Modeling and Simulation Engineer to combine physics-based modeling, AI/ML techniques, and platform engineering for mission-focused solutions across defense, civilian, and space domains.

You will support advanced system design, testing, and evaluation, ensure models run efficiently in cloud and on‑prem environments, and mentor multi-disciplinary teams to build robust M&S ecosystems.

Qualifications

• 3+ years creating high-fidelity physics-based models and simulations.
• Experience with UML/SysML/UAF tools (EA, MagicDraw, RHR) or equivalent.
• Experience across the systems development lifecycle requirements and architecture.
• Integrates models within orchestration pipelines.
• Mentorship and collaboration with multi-disciplinary teams.
• Experience in MSs environment analysis studies.
• Secret clearance.
• Bachelor’s degree in engineering, science, or technology.

Responsibilities

• Develop high-fidelity physics-based models and simulations.
• Integrate models and simulations into an orchestration pipeline.
• Support system design, testing, and evaluation across defense, civilian, and space domains.

Skills

Physics-based models

High-fidelity simulations

System modeling

Education

Bachelor’s degree in Engineering, Science, or Technology

Tools

UML

SysML

UAF tools

Enterprise Architect

MagicDraw

Rational Rhapsody

Job description

Booz Allen Hamilton in El Segundo, CA, seeks a Modeling and Simulation Engineer to combine physics-based modeling, AI/ML techniques, and platform engineering for mission-focused solutions across defense, civilian, and space domains.

You will support advanced system design, testing, and evaluation, ensure models run efficiently in cloud and on‑prem environments, and mentor multi-disciplinary teams to build robust M&S ecosystems.