AFSIM Simulation Engineer

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.

Barbaricum supports NSWC Crane with advanced modeling, simulation, and mission analysis capabilities that inform DoD platform architecture, system integration, and test and evaluation activities. Our teams deliver physics-based analysis that complements MBSE efforts by transforming authoritative SysML-based system models into executable mission-level simulations and actionable analysis products across complex, multi-domain operational environments.

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.

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

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.