MBSE Systems Engineer

Peerless Technologies
Dayton, OH

Job Description

Job Description

Peerless is searching for a highly motivated Digital Engineering / MBSE Systems Engineer to support and expand digital engineering capabilities within AFRL. 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.

The selected candidate will work closely with government stakeholders and multidisciplinary engineering teams to define system architectures, develop digital threads, and integrate MBSE with modeling and simulation environments. This position plays a key role in advancing digital engineering practices, toolchains, and standards while contributing to mission engineering, electronic warfare, and advanced simulation efforts.

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

Work Environment

  • On-site support near Wright Patterson AFB
  • Direct collaboration with government stakeholders and engineering teams
  • Opportunity to work in a small, high-impact technical team with strong growth potential
Posted 2026-07-16

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