Model Based Systems Engineering (MBSE)
Indexed description
Cahaba Federal Solutions is a rapidly growing small business specializing in intelligence, prototyping and integration, systems engineering, and technology development. Recognized as one of Huntsville’s Best Places to Work® for the past two years, as a Best Place for Working Parents® for the past 3 years, and as the winner of the Huntsville/Madison County Emerging Business of the Year® for 2025, Cahaba is a trusted partner in advancing national security through innovative solutions to critical challenges. We are committed to supporting our nation's most vital missions with dedication and expertise. Joining the Cahaba team means access to meaningful career growth, opportunities for personal development, and the chance to tackle engaging and impactful work.
Job Summary
The Model-Based Systems Engineering (MBSE) position will support the government customer with migrating legacy modeling, simulation, and analysis tools, algorithms, applications, and processes pertaining to missile performance analyses into a cloud-native digital engineering pipeline in a phased approach. The primary phase will focus on creating, updating, and refactoring MBSE models and libraries representing a full end to-end missile model; the models must be created in Systems Modeling Language (SysML). Elements of the SysML minimally include requirements, structures (e.g. mass moments of inertia), and parametric characteristics (e.g. specific impulse).
Key Responsibilities
- Host missile models in SysML using existing engineering data analyses with our customers’ subject matter experts.
- Create a scalable workflow for generating new missile models in SysML.
- Apply and test that scalable workflow on a single missile model.
- Constructively work with our customers to optimize the SysML model development workflow.
- Active TS clearance with SCI eligibility.
- Bachelor’s degree in engineering, science, mathematics or related field.
- 8 years of experience in systems engineering or related experience.
- Proven experience applying MBSE to aerospace, mechanical or related engineering fields.
- Basic knowledge of programming concepts and object-oriented programming.
- Creating MBSE models via the SysML or other MBSE tools (e.g., Cameo Systems Modeler, Enterprise Architect, MagicDraw).
- Having an MBSE certification and training (e.g. Object Management Group, International Council on Systems Engineering, etc.).
- Ability to work with a diverse team of engineers to identify modelling requirements.
- Demonstrated conscientious and collaborative work habits to help our customers adopt MBSE for missile performance analyses.
- 5 or more years of experience applying SysML for aerospace engineering applications (design of rocket propulsion systems, phased array antenna sensor systems, or other complex areas).
- Experience with SysML v2.
- Working knowledge of the United Architecture Framework and the Department of Defense Architecture Framework.
- Modeling and simulation experience using AFSIM to include plugin development, architecture, and integration methodologies.
- Proven experience developing models for weapon systems/vehicles for wartime scenarios.
- Multi-disciplinary expertise with proficiency in at least one additional technical area.
Employment opportunities at Cahaba Federal Solutions are based upon a candidate’s qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. Cahaba is an Equal Employment Opportunity employer and provides reasonable accommodations to qualified individuals with disabilities and disabled veterans during the application process. If you need assistance accessing our online system or require an accommodation due to a disability, please contact us at [email protected].
- Compensation for this position is determined by a variety of factors, to include a candidate’s relevant work experience, location, skills, and certifications.
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