Model-Based Systems Engineer (Mid-Level)

Model-Based Systems Engineer (Mid-Level) MMB Solutions LLC Dayton, OH Job Details Full-time $110,000 - $180,000 a year 1 day ago Benefits Health insurance Paid time off Flextime 401(k) matching Life insurance Qualifications Version control Automation Systems engineering Requirements management System architecture design Simulation systems Real-time data processing implementation

Full Job Description Position Description:

Model-Based Systems Engineer (Mid-Level)

Location:

Dayton, OH Clearance Requirement:

Must be eligible to obtain and maintain a Top Secret (TS)

Security Clearance Citizenship:

U.S. Citizenship Required Position Overview MMB Solutions is seeking a mid-level Model-Based Systems Engineer (MBSE) to support the design, development, and integration of advanced distributed systems operating across complex, multi-domain environments. This role involves working within a modern digital engineering ecosystem that enables real-time system modeling, data correlation, and mission-driven decision support across heterogeneous platforms. The ideal candidate will have a strong foundation in MBSE principles, experience with system architecture development, and the ability to translate operational requirements into executable system models that support analysis, simulation, and lifecycle management. Key Responsibilities Develop, maintain, and manage system models using MBSE methodologies (e.g., SysML, UML) Translate stakeholder needs and mission requirements into system architecture and design artifacts Support development of digital engineering environments for modeling, simulation, and system validation Perform requirements decomposition, traceability, and verification within model-based frameworks Integrate models across multiple domains including communications, data processing, and mission systems Collaborate with cross-functional engineering teams (software, hardware, RF, and data engineering) Support system-of-systems (SoS) analysis and interoperability across distributed platforms Contribute to architecture reviews, technical documentation, and design decisions Assist in the development of automated workflows for model validation and data integration Support lifecycle engineering activities from concept through deployment Required Qualifications Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Engineering, or related technical field 4-8 years of relevant experience in systems engineering with a focus on MBSE Hands-on experience with MBSE tools such as Cameo Systems Modeler, MagicDraw, or similar Strong understanding of SysML and system architecture frameworks (DoDAF, UAF, or similar) Experience with requirements management tools Ability to work in a structured engineering environment with version control and model governance Strong analytical and problem-solving skills Excellent written and verbal communication skills Experience with digital engineering ecosystems and data-driven system environments Familiarity with distributed systems, cloud-based architectures, or containerized platforms Exposure to modeling integrated operational environments involving real-time data ingestion, processing, and visualization Experience with scripting or automation (Python, APIs, etc.) to support model integration Compensation & Benefits Our goal is to create an environment that rewards hard work while supporting employee well-being and flexibility. Compensation & Incentives Competitive annual salary aligned with experience and market conditions Opportunity for performance-based bonuses tied to individual and company success Health Benefits $700/month employer contribution toward health insurance OR $400/month stipend if you choose to opt out of company-sponsored health coverage Retirement 5% employer matching contribution to 401(k) plans to support long-term financial planning Life Insurance $10,000 employer-provided life insurance coverage Time Off & Flexibility 200 hours of Paid Time Off (PTO) annually Comp/Flex time available based on project needs and additional hours worked What Success Looks Like Success in this role means effectively building and maintaining authoritative system models that: Enable informed engineering and operational decisions Improve system integration and interoperability Support rapid adaptation to evolving mission needs Provide a digital representation of complex, distributed system behaviors