Job Requirements
Crane, IN
Secret Polygraph Unspecified
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
The Role
The AFSIM Simulation Engineer develops, executes, and analyzes physics-based mission simulations using the Advanced Framework for Simulation and Integration Modeling (AFSIM). This role supports mission effectiveness assessments, experimentation, and Live, Virtual, and Constructive (LVC) events by implementing MBSE-derived SysML views—including requirements, functional threads, physical architectures, and interfaces—as AFSIM inputs to evaluate sensor-to-shooter kill chains and operational effects, including EMSO-relevant influences.
Responsibilities
Required Qualifications
Desired Qualifications
EEO Commitment
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.
The AFSIM Simulation Engineer develops, executes, and analyzes physics-based mission simulations using the Advanced Framework for Simulation and Integration Modeling (AFSIM). This role supports mission effectiveness assessments, experimentation, and Live, Virtual, and Constructive (LVC) events by implementing MBSE-derived SysML views—including requirements, functional threads, physical architectures, and interfaces—as AFSIM inputs to evaluate sensor-to-shooter kill chains and operational effects, including EMSO-relevant influences.
Responsibilities
Develop, modify, and execute AFSIM models derived from MBSE SysML artifacts, including mission threads, functional flows, system architectures, and interface definitions
Analyze blue vs. red kill chains, system interactions, and mission-level effects across integrated sensor, shooter, and command elements
Translate MBSE handoff artifacts (requirements allocations, activity diagrams, block definitions, internal block diagrams) into executable AFSIM entities, behaviors, and interactions
Integrate sensor, RF, EW, weapon, and platform models consistent with MBSE-defined system boundaries, interfaces, and architectural assumptions
Support experimentation, test events, and LVC exercises focused on validating system architectures, mission threads, and kill-chain performance
Conduct verification and validation of AFSIM models against MBSE-defined assumptions, constraints, and system definitions
Perform statistical and analytical assessments of mission outcomes and kill-chain performance drivers, producing analysis products traceable to system design and architecture decisions
Collaborate with MBSE, LVC, and other modeling and simulation teams to maintain digital thread continuity from SysML models through AFSIM simulations to analysis reports and T&E artifacts
Required Qualifications
Bachelor’s degree in Engineering, Physics, Operations Research, or related technical field
- Active DoD Secret (Top Secret/SCI preferred)
5+ years of modeling and simulation experience supporting system-level or mission-level analysis
Hands-on experience developing and executing AFSIM models
Strong understanding of mission-level analysis, system architectures, and kill-chain dynamics
Ability to interpret and analyze large simulation datasets and trace results back to system requirements and architecture drivers
Desired Qualifications
Experience supporting DoD platforms or hardware-centric mission systems within an MBSE-driven development environment
Experience executing sensor-to-shooter or effects-based kill-chain analysis tied directly to system architecture trades
Experience supporting DoD test, evaluation, or experimentation activities using MBSE-informed scenarios and architectures
Programming experience in Python, C++, or MATLAB
EEO Commitment
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.
group id: 10434447
