Senior MBSE Engineer – DoD SoS (Hybrid)

themarlinalliance

San Diego (CA)

Hybrid

USD 120,000 - 155,000

Full time

3 days ago
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Job summary

The Marlin Alliance, Inc. in San Diego, CA is seeking a Model Based Systems Engineer (MBSE) to develop models, architectural products, and digital artifacts for a System of Systems (SoS) for a NAVWAR program.

Requires a minimum SECRET clearance with TS eligibility preferred and on-site/hybrid work in a secure environment. Responsibilities include applying modeling across lifecycle stages, coordinating digital thread objectives, and enabling cross-disciplinary data integration to support assured

Qualifications

  • Four (4) years of professional experience performing Model Based Systems Engineering.
  • Experience with cross-platform MBSE/digital environments or equivalent tools (e.g., Cameo, MagicDraw, Sparx EA, Rational Rhapsody).
  • Knowledge of DoDAF/UAF.
  • Experience supporting MBSE to NoA Chief Engineer with SysML data structures and integration with current data models.

Responsibilities

  • Apply modeling to support system or SoS requirements, design, analysis, verification, and validation throughout the acquisition lifecycle.
  • Coordinate information and resources to meet digital thread objectives and promote a model-based culture.
  • Support creation of a digital thread across engineering disciplines (e.g., cyber, configuration management).

Skills

MBSE
DoDAF/UAF
Cybersecurity
SysML
System Architecture

Education

Bachelor's degree in engineering or related field

Tools

Cameo Systems Modeler
MagicDraw
Sparx Enterprise Architect
Rational Rhapsody

Job description

The Marlin Alliance, Inc. in San Diego, CA is seeking a Model Based Systems Engineer (MBSE) to develop models, architectural products, and digital artifacts for a System of Systems (SoS) for a NAVWAR program.

Requires a minimum SECRET clearance with TS eligibility preferred and on-site/hybrid work in a secure environment. Responsibilities include applying modeling across lifecycle stages, coordinating digital thread objectives, and enabling cross-disciplinary data integration to support assured

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