Principal Systems Engineer - Modeling & Simulation

• Bachelor’s degree in systems engineering, aerospace engineering, electrical engineering, computer science, mathematics, or related technical field
• 10–15 years of Systems Engineering experience supporting complex software-intensive, defense, aerospace, or mission systems
• Demonstrated experience developing system architectures, requirements, interfaces, verification approaches, and integration strategies
• Hands-on project experience applying Model-Based Systems Engineering / Model-Based Engineering methods using tools such as Cameo Systems Modeler, IBM Rhapsody, Sparx Enterprise Architect, or comparable platforms
• Working knowledge of SysML and/or UML and the ability to connect model-based engineering artifacts to system development, integration, and verification activities
• Professional experience developing, integrating, or validating modeling and simulation capabilities for defense or aerospace applications
• Experience with realistic physics-based modeling of air targets and/or effectors, including representative kinematics, dynamics, engagement geometry, sensor/weapon behavior, and mission effects
• Experience modeling air and missile threats spanning UAS, manned aircraft, cruise missiles, and ballistic missiles, or closely related threat classes
• Experience with enterprise or distributed simulation environments used for BLUE-on-RED mission analysis, wargaming, test, training, or evaluation, including Live-Virtual-Constructive (LVC) environments
• Familiarity with distributed simulation standards and protocols such as DIS, HLA, or comparable interoperability approaches
• Proficiency with technical computing and software tools such as Python and/or C++, with the ability to work effectively with software and AI/ML development teams
• United States Citizenship

• Experience with AFSIM or comparable mission-level modeling and simulation environments
• Experience integrating simulation environments with operational C2, sensor, tracking, fire-control, or weapon systems
• Experience with sensor, track, data-fusion, and combat-system modeling
• Experience with discrete-event, agent-based, Monte Carlo, or distributed multi-agent simulation
• Experience using simulation to support AI/ML model training, synthetic data generation, regression testing, robustness assessment, or model evaluation
• Exposure/Experience leveraging AI and agentic AI to accelerate Modeling & Simulation engineering through rapid prototyping, proof-of-concept development, technical trade studies, and iterative evaluation
• Experience designing or integrating LVC test environments and distributed simulation federations
• Strong quantitative background in mathematics, statistics, operations research, physics, or related disciplines
• Master’s degree in Systems Engineering, Aerospace Engineering, Applied Mathematics, Computer Science, or a related technical field
• Active or recent DoD security clearance

• Lead systems engineering for modeling and simulation capabilities, ensuring simulation objectives, interfaces, assumptions, and verification criteria trace to mission and product requirements
• Develop and maintain MBSE artifacts that connect operational concepts, system architecture, interfaces, behavior, requirements, and verification activities
• Define and integrate simulation capabilities across the development lifecycle, from component and AI/ML model evaluation through system integration, regression testing, and mission-effectiveness analysis
• Develop, integrate, or oversee physics-based models of BLUE-force sensors and effectors and RED-force air and missile threats, including UAS, manned aircraft, cruise missiles, and ballistic missiles
• Design representative BLUE-on-RED scenarios and scalable synthetic environments, including LVC and distributed simulation architectures where appropriate
• Establish simulation interoperability using DIS, HLA, and other applicable data/interface standards; integrate simulation with software, C2, sensor, and AI/ML components
• Plan and execute model verification, validation, accreditation support, sensitivity analysis, uncertainty characterization, and simulation-result analysis
• Use simulation results to identify system limitations, quantify technical risk, support trade studies, and recommend risk-reduction activities
• Coordinate across Systems Engineering, software, AI/ML, test, product, and program stakeholders to ensure modeling and simulation supports engineering decisions rather than operating as a standalone activity
• Guide development of simulation architecture, model fidelity, scenario complexity, instrumentation, and data collection appropriate to the engineering question being evaluated

Camgian Culture and Core Value Traits 

• Ability to work as part of a team while maintaining independent thinking 

• Self-driven and self-starter in addition to excellent communication skills 

• Thinking outside the box and an aptitude for innovation and problem solving 

• Always willing to explore the other side of fear, be challenged and to crave cutting edge technologies