Job Type
Full-time
Description
THIS ROLE IS CONTINGENT UPON MILE 2 BEING AWARDED A RELEVANT CONTRACT. Position OverviewMile 2 is seeking a Model-Based Systems Engineer (MBSE) to support Air Force intelligence analytic modernization and digital engineering. This is a hands-on modeling role focused on developing and maintaining SysML-based system and system-of-systems models using Cameo.
The engineer will work with mission and technical SMEs to translate complex systems, requirements, behaviors, interfaces, and analytic workflows into structured models.
- This position is CONTINGENT upon Mile 2 being awarded a relevant contract.
- Hybrid/remote work may be available based on program requirements.
What You'll Do- Develop, maintain, and extend SysML reference designs, system models, and system-of-systems models.
- Build and modify models using Cameo Systems Modeler and related SysML tools.
- Translate technical documentation, requirements, data, and SME input into structured system models.
- Model system architecture, behaviors, interfaces, requirements, relationships, constraints, and dependencies.
- Maintain model consistency, traceability, configuration, and quality.
- Work with analysts and engineers to integrate MBSE into analytic and digital engineering workflows.
- Support interoperability between SysML models and analytic databases, tools, software, and M&S environments.
- Develop reusable modeling patterns, standards, documentation, and training materials.
- Participate in Agile/Scrum planning, reviews, and technical activities.
Requirements
Required Qualifications- Active U.S. Government CAC (Common Access Card)
- Must be eligible to obtain a US security clearance
- Bachelor's degree in Systems Engineering, Engineering, Computer Science, or a related technical discipline, or equivalent relevant experience.
- 5+ years of relevant systems engineering, systems modeling, digital engineering, or systems architecture experience.
- Hands-on experience developing models using SysML.
- Hands-on experience with Cameo Systems Modeler.
- Experience developing system architecture, system, or system-of-systems models.
- Working knowledge of requirements, interfaces, behaviors, system decomposition, and traceability.
- Ability to translate complex technical information and SME knowledge into structured models.
- Strong technical communication and collaboration skills.
- Ability to obtain and maintain required U.S. Government security access.
Preferred Qualifications- Active US Security Clearance
- SysML 2.x experience, including migration from SysML 1.x.
- Advanced Cameo experience with model libraries, profiles, templates, validation, or reusable modeling patterns.
- DoD or Air Force MBSE / Digital Engineering experience.
- Modeling and Simulation experience.
- Experience integrating models with databases, APIs, analytic tools, or software systems.
- Intelligence Community or intelligence-analysis experience.
- Familiarity with Git/GitLab, CI/CD, or cloud-native environments.
What We're Looking ForThe strongest candidate will be someone who is comfortable
building models, rather than someone whose experience with MBSE has primarily been managerial or conceptual.
You may currently have a title such as
MBSE Engineer, Systems Engineer, Systems Modeling Engineer, Digital Engineer, Systems Architect, Systems Analyst, Mission Systems Analyst, Requirements Engineer, Modeling & Simulation Engineer, or Digital Engineering Analyst. We are interested in the work you have performed and the models you have built.
You should be able to take a complex system, incomplete technical documentation, and conversations with domain experts and turn that information into a structured model that another engineer or analyst can understand, interrogate, maintain, and extend.
Our Approach to AI in HiringAt Mile 2, applications are reviewed by real people-not filtered out by bots. Authenticity matters more than keyword tricks.
We know you're probably using AI tools to help draft or polish your resumes, and that's fine! We're using AI to write this blurb about AI! But we expect you to make it your own. Resumes that feel copy-pasted -repetitive, oddly phrased, "too perfect" matches to our job description- may hurt your chances. Adding personal touches and real examples of your work will make your application stronger.
The use of AI tools or other external assistance during interviews is not permitted .
We look forward to meeting the real you!