MBSE Engineer - SysML v2

micro1; United States; Remote; USD 76,000 - 165,000; Full time

Job summary

micro1 is a data lab that helps AI labs and enterprises train foundational models and evaluate them for AI training and evaluation projects. We are seeking a MBSE Engineer skilled in SysML v2 textual modeling to translate requirements into faithful models and create reusable architectures for AI evaluation tasks.

In this contractor role, you will collaborate asynchronously, develop reference solutions, and ensure model fidelity and traceability across ConOps, ICDs, and system Architectures to

Qualifications

• Experience translating requirements into SysML v2 models.
• Ability to develop reference solutions and exemplar architectures in SysML v2.

Responsibilities

• Translate engineering requirements into SysML v2 textual models with fidelity and traceability.
• Develop reference solutions and exemplar architectures in SysML v2 to benchmark AI evaluation tasks.
• Create, refine, and document evaluation rubrics to assess SysML v2 models generated by AI systems.
• Review and provide structured feedback on SysML v2 models for technical accuracy and best practices.
• Analyze requirements, ConOps, ICDs, and architectures to inform modeling efforts.
• Collaborate asynchronously via written and verbal communication to clarify deliverables.

Skills

SysML v2

Systems engineering

Requirements engineering

System architecture

Model traceability

Interface control documents

ConOps

Technical writing

Model assessment

Rubric creation

Model review

Asynchronous communication

Remote collaboration

AI/ML familiarity

A&D industry background

Job description

Pay: $55 - $120/hour

Required Skills

• sysml v2
• systems engineering
• requirements engineering
• system architecture
• model traceability
• interface control documents (icds)
• conops
• technical writing
• model assessment
• rubric creation
• model review
• asynchronous communication
• remote collaboration
• ai/ML familiarity
• aerospace/defense/automotive industry background

About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role Title: MBSE Engineer - SysML v2

Role Type: Contractor

Location: Remote

micro1 is engaging MBSE Engineer - SysML v2 experts to contribute to a customer's project focused on AI training and evaluation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Scope of Work

• Interpret and translate engineering requirements into accurate SysML v2 textual models, emphasizing model fidelity and traceability.
• Develop reference solutions and exemplar architectures in SysML v2 to serve as benchmarks for AI evaluation tasks.
• Create, refine, and document evaluation rubrics to assess the quality and correctness of SysML v2 models generated by AI systems.
• 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 via written and verbal communication to clarify project deliverables and resolve technical ambiguities.

Preferred Qualifications

• 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.
• Proficient in technical writing and clear verbal communication, especially in remote or asynchronous project settings.
• Background in complex industries such as aerospace, space, defense, automotive, maritime, or communications is beneficial but not required.
• Familiarity with model assessment, rubric creation, or model review in a systems engineering context is a plus.
• Previous exposure to AI, ML, or data-driven engineering projects is advantageous