Note: The job is a remote job and is open to candidates in USA. Sabel Systems designs and delivers digital engineering ecosystems for Department of Defense programs, enabling secure and scalable connections among data, systems, and personnel. The Modeling, Simulation, & Analysis SME will design, develop, execute, and validate high-fidelity simulation models and analyses, while supporting trade studies, visualization, documentation, and systems engineering collaboration.
Responsibilities
- Design and develop high-fidelity simulation models using ANSYS STK, ANSYS engineering software, AerSim, and other advanced COTS modeling tools; translate customer mission requirements and system constraints into comprehensive, executable simulation architectures
- Establish simulation framework architecture including scenario definition, environment modeling, physics-based modeling, and integration with external data sources and systems
- Develop physics-based models for system components, subsystems, and integrated systems; ensure models accurately represent real-world behavior with appropriate fidelity levels
- Execute complex, high-fidelity simulations across multiple scenarios, mission profiles, and environmental conditions; manage long-running simulations and optimize computational performance
- Conduct Monte Carlo simulations and uncertainty quantification analysis to assess system performance variability and robustness under different conditions
- Perform sensitivity analysis to identify critical parameters and understand relationships between system inputs and performance outcomes
- Design and execute comprehensive trade studies to evaluate alternative system architectures, configurations, and design approaches; provide quantitative analysis supporting strategic decisions
- Conduct what-if analysis to explore impact of design changes, operational parameters, and constraint variations on system performance
- Develop comprehensive performance metrics and acceptance criteria aligned with customer requirements and technical specifications
- Execute performance validation simulations to verify system meets functional and performance requirements across specified operational domains
- Create compelling visualizations, animations, and interactive displays of simulation results; develop 2D/3D visualizations that communicate complex technical findings
- Produce comprehensive analytical reports documenting simulation methodology, assumptions, results, confidence levels, and recommendations
- Develop and maintain simulation tool scripts, plugins, and custom extensions that enhance tool capabilities and automate routine tasks
- Integrate external data sources (environmental data, telemetry, test data) into simulation environment; manage data quality and applicability
- Collaborate with systems engineers, MBSE specialists, and architects to understand requirements and provide simulation support for system design and validation
- Handle classified data and system information appropriately; follow all DoD security requirements and classified information handling procedures
- Develop comprehensive simulation documentation including model specifications, methodology descriptions, validation plans, and user guides
Skills
- US Citizen with Top Secret security clearance with SCI eligibility; experience in classified environments preferred
- Bachelor's degree in Physics, Mathematics, Mechanical Engineering, Aerospace Engineering, Systems Engineering, or related field; advanced degree strongly preferred
- 10+ years of professional experience in modeling, simulation, analysis, or related technical roles with demonstrated progression in responsibility
- 5+ years of hands-on experience with ANSYS STK (Satellite Tool Kit) or equivalent high-fidelity commercial simulation platforms; deep practical expertise
- 5+ years of experience with ANSYS engineering software (FLUENT, Mechanical, Thermal, or equivalent), AerSim, or comparable physics-based simulation tools
- Strong foundation in physics and mathematical modeling; understanding of mechanics, dynamics, orbital mechanics, or applicable physics domains
- Expert-level proficiency in MATLAB, Python, or equivalent scripting languages; ability to develop scripts and custom extensions for simulation tools
- Hands-on experience with data analysis, statistical analysis, and visualization tools (MATLAB, Python, Tableau, or equivalent)
- Demonstrated expertise in designing, executing, and validating complex simulations; understanding of validation and verification (V&V) processes
- Experience developing high-fidelity models with appropriate physics representation and fidelity levels for specific applications
- Practical knowledge of Monte Carlo analysis, uncertainty quantification, sensitivity analysis, and statistical methods in simulation
- Experience conducting trade studies and what-if analysis to support technical decision-making and system optimization
- Excellent written and verbal communication skills; ability to explain complex simulation methodology and results to diverse audiences
- Strong systems engineering perspective; understanding of how simulation supports system design, validation, and decision-making
- Master's degree or PhD in Physics, Mathematics, Mechanical Engineering, Aerospace Engineering, Systems Engineering, or related field
- Advanced expertise in ANSYS STK, including advanced mission analysis, link budget analysis, coverage analysis, and constellation design
- Experience with satellite systems, space operations, orbital mechanics, or launch vehicle analysis
- Experience with high-performance computing (HPC), parallel processing, and optimization of computationally intensive simulations
- Hands-on experience with additional simulation tools (GMAT, Vector Fields, SystemVue, Numerical Technologies, etc.)
- Background in systems engineering, model-based systems engineering (MBSE), or digital engineering practices
- Experience with data science and machine learning integration with simulation and analytical workflows
- Familiarity with DoD acquisition processes, systems engineering standards (IEEE 15288), and MBSE methodologies
- Experience with version control systems (Git), simulation framework automation, and CI/CD integration for simulation pipelines
- Publications or presentations on modeling, simulation, or analysis in peer-reviewed venues or technical conferences
- Professional certifications in systems engineering (CSEP, ASSEP) or advanced technical specialization
Benefits
- Healthcare
- Financial assistance in the event of illness, injury, disability, loss of work, or death
- Health savings accounts
- Retirement plans
- Paid time off
- Paid holidays
- Education and training program reimbursement
- Fully remote work arrangement
Company Overview