Model Based System Engineer

LMI • Colorado Springs, CO

2d • Onsite

About The Position

LMI is seeking a Senior Model-Based Systems Engineer (MBSE) with deep expertise in SysML to support the development and representation of future space architectures, with a focus on sustained space maneuver and resilient orbital operations. In this role, you will lead the creation of Model-Based Systems Engineering (MBSE) artifacts in SysML that translate conceptual architectures and analytical results into structured, interoperable system models. These models will support early-phase force design, architecture evaluation, and integration with external tools and analytical environments. This position is ideal for a systems engineer who can operate in ambiguous, concept-driven environments, and who excels at turning evolving ideas into coherent, defensible system models that inform decision-making. This is an on-site role in Colorado Springs, CO and requires an active TS/SCI or TS with SCI eligibility clearance and a willingness to obtain a CI Poly. 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.

Requirements

• Bachelor’s degree in Systems Engineering, Aerospace Engineering, or a related technical field
• 5+ years of experience in Model-Based Systems Engineering (MBSE)
• Demonstrated expertise in developing models using SysML
• Hands-on experience with MBSE tools such as: Cameo Systems Modeler
• Strong understanding of systems engineering principles, including: Requirements decomposition and traceability Functional and logical architecture development Interface definition and system integration
• Experience developing models that interface with external tools, data sources, or analytical environments
• Ability to translate ambiguous or evolving concepts into structured system models
• Strong communication skills and ability to collaborate across multidisciplinary teams
• Candidate must possess an active TS/SCI or TS with SCI eligibility clearance and a willingness to obtain a CI Poly.

Nice To Haves

• Experience supporting early-phase concept development, architecture definition, or pre-acquisition analysis
• Familiarity with architecture frameworks such as DoDAF or UAF
• Experience integrating MBSE models with: Modeling & simulation tools Data analytics pipelines External interfaces or APIs
• Background in space systems, including satellite architectures, ground systems, or mission analysis
• Experience with digital engineering environments or model integration across platforms
• Advanced degree in Systems Engineering or a related field

Responsibilities

• Develop and maintain MBSE artifacts using SysML to represent candidate space architectures
• Translate conceptual system designs, trade study outputs, and mission scenarios into structured system models
• Create and manage core SysML artifacts, including: Block Definition Diagrams (BDDs) Internal Block Diagrams (IBDs) Activity and sequence diagrams Requirements diagrams with traceability
• Ensure models are structured to interface with external systems, analytical tools, and data environments, enabling integration across the broader analysis ecosystem
• Collaborate with trade space analysts, data scientists, and modeling & simulation teams to ensure alignment between analytical outputs and system representations
• Support development of system architectures, interfaces, and requirements for notional and emerging space capabilities
• Apply architecture frameworks (e.g., DoDAF, UAF) to ensure models are aligned with stakeholder expectations
• Maintain model integrity, consistency, and version control as architectures evolve
• Contribute to technical reports, briefings, and stakeholder engagements by translating model outputs into clear, decision-relevant insights
• Provide guidance on MBSE best practices and mentor team members on model-based approaches

What This Job Offers

• Job Type: Full-time
• Career Level: Senior