Principal Systems Engineer - Modeling & Simulation
Camgian
Huntsville, AL · Posted August 26, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Camgian
More in Alabama job market · All Principal Systems Engineer jobs (120) · Technology & Software · Engineering jobs
More roles at Camgian
- Senior AI Engineer (Camgian Labs) · Huntsville, AL
- Executive Director, Capture Management - U.S. Space & U.S. Air Force IAMD / Space Superiority Markets · Colorado Springs, CO
- Principal Software Architect · Huntsville, AL
- Senior Quality Assurance (QA) Software Engineer · Huntsville, AL
- Senior Quality Assurance (QA) Software Engineer · Starkville, MS
- Principal Systems Engineering Architect · Huntsville, AL
Similar jobs
- Model-Based Systems Engineer · Leidos · Huntsville, AL
- Solutions Architect · ICF International · Montgomery, AL
- Senior Platform Engineer · Yulista Solutions · Huntsville, AL
- Sr. Systems Engineer · Yulista Solutions · Huntsville, AL
- Associate, Systems Engineer · L3HARRIS Technologies · Canoga Park, CA
- Specialist, Systems Engineer - Modeling Simulation and Controls - Control Logic Design · L3HARRIS Technologies · FL
Where Huntsville, AL ranks
Where Huntsville, AL placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for aerospace and defense jobs555 openings · of 67
- #2Best cities for pay after cost of living in the Southeast$164k · of 33
- #2Best cities for software and engineering jobs in the Southeast701 openings · of 65
- #3Best all-round cities for mid-career professionals in the Southeast74 / 100 · of 33
- #6Best cities for aerospace and defense pay after cost of living$151k · of 19
- #12Best all-round cities for AI careers in the Southeast61 / 100 · of 33
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 25 open principal systems engineer listings that state pay, the middle half runs $180,000 to $205,000 and the median is $184,500.
Listed pay is what employers advertise, not what people are paid.
Principal Systems Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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
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