Jobs · Information Technology · Ohio

MBSE Systems Engineer with Security Clearance

Peerless Technologies Corporation · Dayton, OH · 4 wk ago
Information TechnologyFull-time

About the role

This role offers the opportunity to help shape and implement Model-Based Systems Engineering (MBSE) approaches within a growing, high-impact technical team supporting mission-critical defense initiatives.

Responsibilities

  • Work closely with government stakeholders and multidisciplinary engineering teams to define system architectures, develop digital threads, and integrate MBSE with modeling and simulation environments.
  • Contribute to mission engineering, electronic warfare, and advanced simulation efforts.
  • Advance digital engineering practices, toolchains, and standards.

Requirements

  • US Citizen with experience with Model-Based Systems Engineering (MBSE) and digital engineering methodologies
  • Hands-on experience with SysML and MBSE tools (e.g., Cameo/NoMagic, or similar)
  • Strong background in systems engineering, including requirements development, system architecture, integration, and verification & validation (V&V)
  • Ability to translate mission needs into structured models, architectures, and technical solutions
  • Experience collaborating with government customers and technical stakeholders
  • Ability to work across multidisciplinary engineering teams
  • Active TS/SCI clearance or ability to obtain one

Preferred Qualifications

  • Experience developing or managing digital engineering ecosystems and toolchains
  • Familiarity with DoD digital engineering strategies and open systems approaches
  • Experience integrating MBSE with modeling and simulation tools (e.g., AFSIM, MATLAB)
  • Background in Electromagnetic Spectrum Operations (EMSO), Electronic Warfare (EW), or RF systems
  • Experience with Agile development tools (JIRA, Confluence, Git, Teamwork Cloud)
  • Exposure to data analytics, AI/ML, or model-driven analysis environments
  • Experience supporting trade studies, Analysis of Alternatives (AoA), and design of experiments

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