Model Based System Engineer II/III at WARRANT TECHNOLOGIES – Crane, Indiana

The Model Based Systems Engineer II/III develops and applies model-based systems engineering (MBSE) methods to support requirements, architecture, design, analysis, and verification activities across system lifecycles. This role creates and maintains system models and digital artifacts that improve traceability, technical rigor, and decision speed for NSWC Crane mission programs. The engineer collaborates across disciplines to ensure model data supports interoperability, digital thread objectives, and integration readiness. This position is contingent upon award. Award is expected around the end of the year (2026).

- Bachelor’s degree in engineering, operations research, or other sciences requiring advanced math skills (e.g., business, mathematics, statistics, probability), per eCRAFT Model Based Systems Engineer II labor category.
- 3+ years of professional experience performing Model Based Systems Engineering.
- Demonstrated familiarity with MBSE principles and application of SysML or UML in professional settings.
- Experience with cross-platform collaborative MBSE/digital environments to design, track, visualize, and analyze system models.
- Knowledge of Department of Defense Architecture Framework / Unified Architecture Framework (DoDAF/UAF).
- Strong communication skills to support model reviews, requirements traceability discussions, and stakeholder alignment.
- Active DoD Secret clearance (or clearable to that level) required due to support for classified programs and facilities.

- Practical experience using MBSE tools in collaborative digital engineering environments (e.g., Cameo/MagicDraw, Sparx EA, Rhapsody, or equivalent).
- Working knowledge of SysML/UML and their application to requirement decomposition, interface definition, and architecture analysis.
- Familiarity with DoDAF/UAF viewpoints and model products for defense-oriented architecture development.
- Experience coordinating with systems, software, test, cybersecurity, and logistics stakeholders to maintain model fidelity across development phases.
- Ability to produce model-based analyses and concise technical outputs for engineering and leadership review.