Software Engineering Staff

RMS Until 9/27/2026 5+ years exp First posted June 11, 2026 Last posted July 29, 2026
Job description
• Bachelor’s degree (or higher) in Mechanical/Electrical/Systems Engineering, Computer Science, or a related technical field.
• 5 years of hands on experience designing, developing, or maintaining complex systems/products using Model Based Engineering approaches.
• Proven track record of using Cameo Systems Modeler / Cameo Enterprise Architecture in real world projects (e.g., aerospace, defense, automotive, or complex electronics).
• Deep knowledge of SysML (requirements, behavior, structure, parametric diagrams) and its application within Cameo.
• Proficiency in creating and managing model libraries, profiles, and extensions in Cameo.
• Experience with model transformation, validation, and verification (e.g., OCL, Model Based Test Generation).
• Ability to integrate Cameo models with downstream tools (e.g., MATLAB/Simulink, DOORS, PLM, CI/CD pipelines).
• Familiarity with model version control (Git, Subversion) and collaborative modeling workflows.
• Familiarity with industry standards such as INCOSE MBSE Guide, OMG SysML, ARP 4761, DO 178C/DO 254 (as applicable).
• Understanding of configuration management, verification & validation (V&V) processes, and CMMI/ISO quality frameworks.
• Ability to obtain or maintain required security clearances for classified or sensitive projects (e.g., DoD, ITAR).
About this role

Summary

Design, develop, and maintain complex systems using Model Based Engineering and Cameo tools.

Job title

Software Engineering Staff

Experience level

5+ years

Minimum experience

5+ years exp

Industry

aerospace

Location requirements

RMS, remote work not specified

Salary

Not specified

Management role

No

Skills & keywords

Required skills

Cameo Systems ModelerSysMLmodel transformationverification and validationconfiguration management

Preferred skills

None specified

Specializations

Model Based EngineeringSysMLCameoverification and validationmodel transformation
Locations

Structured locations inferred from the posting.

Unknown location

Work arrangement unknown