Review, assess, and provide structured feedback on SysML v2 models, ensuring technical accuracy and adherence to modeling best practices.
Analyze requirements, ConOps, interface control documents (ICDs), and architectural specifications to inform modeling efforts.
Collaborate asynchronously through written and verbal communication to clarify deliverables and resolve technical ambiguities.
Required Qualifications
Minimum 3 years of professional experience in systems engineering, with demonstrated hands-on expertise in SysML v2 textual modeling.
In-depth understanding of requirements engineering, system architecture, interface control, and model traceability.
Experience working with ConOps, ICDs, and other foundational systems engineering artifacts.
Proficiency in technical writing and clear verbal communication, particularly in remote or asynchronous project settings.
Preferred Qualifications
Background in complex industries such as aerospace, space, defense, automotive, maritime, or communications.
Familiarity with model assessment, rubric creation, or model review in a systems engineering context.
Previous exposure to AI, ML, or data-driven engineering projects.
Core Skills
SysML v2 textual modeling
Systems engineering
Requirements engineering and traceability
System architecture and interface control
ConOps and ICD analysis
Reference model and exemplar architecture development
Model assessment, review, and validation
Evaluation rubric creation
Technical writing and structured feedback
Asynchronous communication and remote collaboration
AI/ML familiarity
Who Should Apply?
Systems engineering professionals with hands-on SysML v2 modeling experience who can develop accurate reference models, assess AI-generated outputs, create evaluation rubrics, and communicate technical findings clearly in a remote environment.