Job Description

We are seeking an AFSIM Simulation Engineer to develop and execute mission-level and kill-chain simulations that consume MBSE-defined system architectures, interfaces, and
mission threads to assess hardware-centric DoD platforms and integrated mission systems.

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 that trace back 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
• Top Secret Security Clearance
• 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