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# Model-Based Systems Engineer

- **Company:** Arcfield, Inc.
- **Location:** Chantilly, VA, United States
- **Experience:** Expert
- **Salary:** $119,042.0 - $206,990.0
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, Decision Support Systems, Language Modeling, Software Requirements Analysis, Systems Modeling Language, Systems Architecture, MagicDraw, Information Technology
- **Published:** July 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9f7886fc621a8b81

## About the Role

* BS 8-10, MS 6-8, PhD 3-5 in Systems Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, or a related technical discipline.
 * 5+ years of relevant hands-on systems engineering, MBSE, or digital engineering experience supporting complex government, defense, national security, or space-based systems.
 * Experience applying MBSE methodologies across the systems engineering lifecycle, including requirements definition, CONOPS development, architecture development, integration, verification, validation, and technical review processes.
 * Proficiency with MBSE frameworks, modeling languages, and tools such as SysML, UAF, Cameo Systems Modeler, Cameo Enterprise Architect, MagicDraw, or similar platforms.
 * Strong understanding of system-of-systems architecture development for space, ground, communications, sensing, targeting, or multi-domain mission solutions.
 * Familiarity with Department of Defense acquisition processes, portfolio acquisition execution, technical performance metrics, procurement strategies, or government acquisition documentation is preferred.
 * Strong analytical, problem-solving, communication, and facilitation skills, with the ability to work effectively with government stakeholders, technical teams, and cross-functional partners.
 * Active TS/SCI Security Clearance is required.

## Description

* Model-Based Systems Engineering: Apply MBSE methodologies across the lifecycle of complex space systems, including concept development, integration, verification, validation, transition, and technical maturation.
 * Digital Model Development: Create digital models that support acquisition lifecycle activities, including concept definition, pre-acquisition planning, technology maturation, trade-space analysis, and technical decision support.
 * Space Systems Engineering: Support the design and evaluation of resilient system-of-systems architectures across space, ground, communications, and multi-domain mission segments.
 * Trade Studies and Analysis: Conduct feasibility studies, technical gap analyses, trade-off analyses, Analysis of Alternatives, and predictive simulations to evaluate collection architectures, mission performance, technical risk, and capability alignment.
 * Engineering and Acquisition Support: Translate high-level operational needs and mission requirements into technical acquisition strategies, design-level solutions, technical performance metrics, and portfolio-level engineering recommendations.
 * Collaboration and Stakeholder Engagement: Interface with government leadership, acquisition teams, mission partners, and cross-functional stakeholders to ensure engineering products align with acquisition, operational, and technical objectives.


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