Senior/Mid-Level Model Based Systems Engineer (MBSE)

Job Description:

We are seeking a talented Mid–Senior Level Model-Based Systems Engineer (MBSE) to support mission-critical programs in a collaborative environment. This role is ideal for someone with strong technical expertise who is committed to delivering reliable, system-level solutions in support of government objectives. The ideal candidate will have experience in one or more areas, including developing and coordinating Government customer requirements, system model descriptions, verification, specifications, test plans, and system risks and design reviews using a SysML tool. We also 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.

Required Qualifications:

U.S. citizenship and Huntsville, Alabama area resident

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. MagicDraw) 

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

Desired Qualifications: 

5-7 years or more 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

Security Requirements:

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