Simulation Engineer Job at Vergence, Crane, IN

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  • Vergence
  • Crane, IN

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

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