Model-Based Systems Engineer (Mid-Level)

Valid8 Financial, Inc.; Dayton (OH); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Performance-based bonuses

$700/month employer contribution toward health insurance

$400/month stipend if opting out of health coverage

5% employer matching contribution to 401(k)

200 hours of Paid Time Off annually

Job summary

Valid8 Financial, Inc. in Dayton, OH is seeking a mid-level Model-Based Systems Engineer to design and integrate advanced distributed systems. The ideal candidate will have a solid foundation in MBSE principles and relevant experience in systems engineering.

You will support the development of digital engineering environments and collaborate with teams across multiple domains. The role offers competitive compensation, health insurance contributions, and paid time off.

Qualifications

• 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 or MagicDraw.
• Strong understanding of SysML and system architecture frameworks.

Responsibilities

• Develop and manage system models using MBSE methodologies.
• Translate stakeholder needs into system architecture.
• Support system-of-systems analysis and interoperability.

Skills

Model-Based Systems Engineering (MBSE)

SysML

UML

Analytical skills

Problem-solving skills

Communication skills

Scripting (Python, APIs)

Education

Bachelor’s degree in Systems Engineering or related field

Tools

Cameo Systems Modeler

MagicDraw

Job description

Position Description

Position: 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