LMI
Model-Based Systems Engineer - Mid Level - Clearance Required
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Job Description
- Req#: 13688
- The ideal candidate will provide comprehensive MBSE, systems engineering, and programmatic support to the production process simulation model technical development.
- This role entails leading the adoption and consistent application of MBSE methodologies and tools, managing the creation and governance of system models in partnership with LMI and government teams, conducting model-based and traditional Systems Engineering Technical Review (SETR) events, and driving Digital Engineering (DE) initiatives.
- Actively participate in Integrated Product Teams (IPT’s) and other engineering working groups to review, assess, and mature engineering artifacts such as concept of operations (CONOPs), system architecture, system behavior, system interfaces, functional allocation, Interface Control Documents/Descriptions (ICDs), and data models.
- BS degree in Systems Engineering, Electrical Engineering, Mechanical Engineering, or related.
- 5-7 years of MBSE and Systems Engineering experience across the SE lifecycle.
- Demonstrated in-depth understanding of systems engineering principles/processes, MBSE methodologies, and best practices such as SETR process and Object-Oriented Systems Engineering Methodology (OOSEM).
- Proven experience with MBSE tools such as Magic Draw, Cameo, Enterprise Architect.
- Current OMG-Certified SysML Professional (OCSMP) SysML Model User and SysML Model Builder Fundamental credentials.
- Experience with object-oriented programming languages such as MATLAB, Python, Java, C++.
- Experience with Agile Development methods and DE capabilities.
- Professional written and oral communication skills.
- A current active Secret level clearance.
- Familiarity with DoD Modular Open System Approach (MOSA).
- Experience supporting large scale Department of Defense (DoD) programs.
- Experience with manufacturing production process studies and capacity improvement projects.
Overview
LMI is actively seeking a dynamic, experienced mid-level Systems Engineer with a strong background in model-based systems engineering (MBSE) and supporting an Army client. This individual will provide end-to-end Systems Engineering and Integration (SE&I) services for a cutting-edge production process simulation model under development for the DoD. This is a remote position but will require 25% travel.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Qualifications
Required:
Desired:
Target Salary Range: $134367.66 - $232404.55
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
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Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
About the company
The Logistics Management Institute is a consulting firm dedicated to improving the business of government, drawing from deep expertise in advanced analytics, digital services, logistics, and management advisory services.
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