Systems Engineering Specialist
2 weeks ago
Exciting Opportunity with Axient
Axient is in search of a Systems Engineering Specialist to engage with Digital Engineering (DE), Model-Based Systems Engineering (MBSE), Test and Evaluation (T&E), and physics-driven modeling to support advanced initiatives in hypersonic technologies.
Key Responsibilities:
- Facilitate the adoption of DE and MBSE methodologies across various program offices.
- Employ Digital Engineering (DE) and Model-Based Systems Engineering (MBSE) principles to create and refine solutions that align with program office needs.
- Provide analytical support to engineering teams and DoD weapon systems program offices, enhancing inter-team communication and evaluation.
Essential Skills:
Minimum Qualifications:
- Master's Degree in Systems, Aerospace, Mechanical, or Electrical Engineering, or a related field.
- A minimum of 10 years of relevant engineering experience, particularly with US government and/or DoD entities.
- Familiarity with industry-standard modeling languages such as UML and SysML, along with frameworks like Unified Architecture Framework and Unified Profile for DODAF/MODAF.
- Experience with MBSE tools, including Cameo Enterprise Architect, Cameo Systems Modeler, MagicDraw, Rhapsody, Papyrus, and/or Enterprise Architect.
- Proficiency in developing and evaluating systems engineering and architecture models to conduct system design analysis and technical assessments.
- Background in DE and MBSE technologies, with a solid understanding of Air Force Test Center (AFTC) procedures and USAF regulations.
- Willingness to relocate to the designated area.
- Ability to obtain a SECRET level DoD security clearance prior to commencing work.
- Experience in technical and/or project leadership roles.
- Capability to thrive in both self-directed and collaborative team environments.
- Strong verbal and written communication skills; adeptness with Microsoft Office Suite.
Preferred Qualifications:
- Active and transferable DoD security clearance.
- Experience utilizing system performance models to guide programmatic decisions.
- Knowledge in developing and applying physics-based models, particularly in computational fluid dynamics, structural mechanics, and propulsion systems.
- Experience in uncertainty analysis, data integration, and the creation and application of reduced order models.
Axient LLC is committed to equal employment opportunities and adheres to all applicable safety and legal standards as mandated by federal regulations.
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