Simulation Engineer - Advanced Framework for Simulation and Integration Modeling (AFSIM)

Description:

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 (requirements, functional threads, physical architectures, and interfaces) as AFSIM inputs to evaluate sensor-to-shooter kill chains and operational effects, including EMSO-relevant influences.

Developing, modifying, and executing AFSIM models derived from MBSE SysML artifacts, including mission threads, functional flows, system architectures, and interface definitions

Analyzing blue vs. red kill chains, system interactions, and mission-level effects across integrated sensor, shooter, and command elements

Translating MBSE handoff artifacts (requirements allocations, activity diagrams, block definitions, internal block diagrams) into executable AFSIM entities, behaviors, and interactions

Integrating sensor, RF, EW, weapon, and platform models consistent with MBSE-defined system boundaries, interfaces, and architectural assumptions

Supporting experimentation, test events, and LVC exercises focused on validating system architectures, mission threads, and kill-chain performance

Conducting verification and validation of AFSIM models against MBSE-defined assumptions, constraints, and system definitions

Performing statistical and analytical assessments of mission outcomes and kill-chain performance drivers, producing analysis products that trace back to system design and architecture decisions

Collaborating 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

FILLING THIS POSITION IS CONTINGENT UPON FUNDING

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Requirements:

Bachelor’s degree in engineering, physics, operations research, or related technical field

Five or more 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 Skills:

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

Clearance Information:

SRC IS A CONTRACTOR FOR THE U.S. GOVERNMENT, THIS POSITION WILL REQUIRE U.S. CITIZENSHIP AS WELL AS, A U.S. GOVERNMENT SECURITY CLEARANCE AT THE SECRET LEVEL WITH TOP SECRET / SCI ELIGIBILITY

Travel Requirements:

No travel required

About Us:

Scientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry, as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients.

SRC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with a company match, life insurance, vacation and sick paid time off accruals starting at 10 days of vacation and 5 days of sick leave annually, 11 paid holidays, tuition reimbursement, and a work environment that encourages excellence and more. For positions requiring a security clearance, selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

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