Principal Systems Engineer - Modeling & Simulation

United States·Huntsvillelead

OtherEngineer

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Overview

Camgian is seeking an experienced Systems Engineer to lead the integration of modeling and simulation (M&S) capabilities across Camgian’s product development lifecycle.

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OtherEngineer

Camgian is seeking an experienced Systems Engineer to lead the integration of modeling and simulation (M&S) capabilities across Camgian’s product development lifecycle. This role is first and foremost a systems engineering position, with responsibility for translating mission needs into system architectures, requirements, interfaces, verification approaches, and model-based engineering artifacts.

The successful candidate will also bring substantial professional experience in modeling and simulation, including the development and integration of realistic physics-based models, synthetic operational environments, and simulation-based test and evaluation. The position will work across software, AI/ML, systems engineering, test, and program teams to reduce technical risk, improve development velocity, and provide credible mission-level evaluation of Camgian capabilities.

Qualifications

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

Desired Skills

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

Key Responsibilities

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