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MMB Solutions LLC

MBSE Systems Engineer (Mid Level) — Digital Engineering

dayton, OH

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About this opportunity

MMB Solutions LLC lists this MBSE Systems Engineer (Mid Level) — Digital Engineering opportunity in dayton, Ohio. Review the employer’s description below for duties, qualifications and application requirements.

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

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

$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

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Worksite address

dayton, OH, 45444, US

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