[Hiring] General Cardiologist @YO AI Labs

Role Description

We are seeking experienced Model-Based Systems Engineering (MBSE) professionals with expertise in SysML v1 and exposure to SysML v2, or hands-on experience in SysML v2 textual modeling. This role focuses on developing reference models, evaluating AI-generated SysML v2 outputs, and establishing technical standards for model accuracy and quality. You will apply your systems engineering expertise to assess how effectively AI systems interpret engineering requirements, represent system architectures, and produce consistent, traceable models.

• Translate engineering requirements into accurate SysML v2 textual models, ensuring model fidelity and traceability.
• Develop reference models and exemplar system architectures for AI evaluation.
• Create and refine evaluation rubrics to assess the accuracy and quality of AI-generated SysML v2 models.
• Review and evaluate models, providing structured feedback on technical accuracy and modeling best practices.
• Analyze engineering requirements, Concepts of Operations (ConOps), Interface Control Documents (ICDs), and architectural specifications.
• Collaborate remotely with project stakeholders to clarify deliverables and resolve technical challenges.

Qualifications

• Professional experience in systems engineering with hands-on expertise in SysML v1 and exposure to SysML v2, or demonstrated experience in SysML v2 textual modeling.
• Ability to interpret engineering requirements and translate them into technically accurate system models.
• Strong understanding of MBSE principles, requirements traceability, and system architecture.

Requirements

• Knowledge of requirements engineering, system architecture, interface control, and model traceability.
• Experience working with ConOps, ICDs, and other systems engineering documentation.
• Strong technical writing and communication skills.
• Experience in aerospace, space, defense, automotive, maritime, or communications engineering.
• Familiarity with model verification, technical reviews, evaluation rubrics, or model quality assessment.
• Exposure to AI, machine learning, or data-driven engineering projects.

Engagement Details

• Contract Type: Contractor
• Work Structure: Project-based or task-based with flexible hours.
• Duration: Initial project expected to last approximately 4 weeks to 3 months.

Application Process

Candidates will be required to complete an AI interview as part of the application process.