Junior Model Systems Engineer; MBSE U.S. Citizenship

Job Description

The Junior MBSE should ideally have beginner-level experience in one or more of the following: developing and coordinating Government customer requirements, system model descriptions, verification, specifications, test plans, and system risks and design reviews using a SysML tool. We welcome candidates with strong quantitative and analytical backgrounds, including those from biomedical, biological, or computational research fields, who demonstrate the ability to learn and apply systems modeling methodologies.

• U.S. citizenship and Huntsville, Alabama area residency
• Bachelor’s Degree in an engineering discipline (e.g., systems, aerospace, electrical, biomedical, etc.) or a related technical field such as computational biology, bioinformatics, or other quantitative sciences
• Basic understanding of requirements and requirements specifications; candidates with experience defining research objectives, experimental protocols, or data pipeline specifications are encouraged to apply
• Ability to learn Systems Modeling Language (SysML) and related languages such as UML or BPMN; candidates with experience in structured modeling environments (e.g., network models, statistical models, or simulation frameworks) are well-positioned to succeed
• Ability to learn SysML modeling tools such as Cameo EA (a.k.a. Magic Draw)
• Ability to work in a collaborative, team-oriented environment
• Strong analytical and problem-solving skills; experience with data analysis, quantitative research, or computational methods is a plus

• 1–2 years of experience working with a DoD government client or in a research environment involving complex systems, data integration, or multi-disciplinary teams
• Familiarity with Cameo EA or other modeling or simulation tools such as Sparx EA or MATLAB; candidates with MATLAB experience from academic or research settings are strongly encouraged
• Familiarity with programming languages such as Python, R, C++, or similar; experience using Python or R for data analysis, scripting, or automation is directly applicable
• Experience with systems-level thinking: designing experiments with defined inputs, outputs, and verification criteria (e.g., thesis research, multi-omics pipelines, or engineering design projects)
• Experience communicating complex technical findings to diverse audiences (e.g., presentations, publications, design reviews, or symposia)
• Advanced degree (M.S. or Ph.D.) in an engineering or quantitative science discipline is a plus

Candidate must possess or be able to obtain and maintain a Final Secret Clearance.