SCI)

Amentum•Crane, IN

3d•Onsite

About The Position

Amentum is seeking a Mid-Level Model Based Systems Engineer (MBSE) to support key programs at NSWC Crane. This role involves applying MBSE methodologies using SysML and supporting tools to capture, maintain, and visualize complete system solutions within a unified digital model. The goal is to enable clear design communication and automated integration across engineering domains. The engineer will develop models of complex system architectures, support architecture evaluations, identify and characterize uncertainties, and contribute to requirements and interface management. The position requires converting analytical findings into actionable recommendations for U.S. Government stakeholders.

Requirements

6-10 years of Systems Engineering experience
3-5 years of experience creating SysML models, analyses, and simulation using Cameo Systems Modeler
Able to generate CDRL documents from the MBSE models such as Requirements, Architecture, Interface Documents
Must have an Active US Government Secret Clearance with the ability to obtain and maintain a TS/SCI US Government Clearance.
US Citizenship is required to obtain a Secret/ TS/SCI Clearance.
Bachelor’s degree from ABET-accredited engineering program, or computer science major, or mathematics major.
Bachelor’s degree with 8+ years of SE and/or MBSE experience, master’s degree with 5+ years of MBSE experience

Nice To Haves

Ability to create SysML models using Cameo Systems Modeler
Experience developing Models using MagicGrid Methodology a plus
Experience implementing MBSE on DoD Programs

Responsibilities

Apply MBSE methodologies using SysML and supporting MBSE tools to capture, maintain, and visualize complete system solutions within a unified digital model, enabling clear design communication and automated integration across engineering domains.
Develop models of complex system architectures using standards-based languages (SysML).
Support architecture evaluations through both qualitative and quantitative analysis methods.
Identify and characterize uncertainties within system architectures and define associated risks and opportunities.
Contribute to requirements management, interface management, and architecture change control processes.
Convert analytical findings into clear, actionable recommendations for U.S. Government stakeholders.