MBSE Engineer – SysML v2
المعلومات الأساسية
- المسمى الوظيفي
- MBSE Engineer – SysML v2
- الشركة / الجهة
- micro1
- المدينة
- جميع المدن
- التخصص
- الهندسة
- الخبرة المطلوبة
- Mid-level Senior
- تاريخ الإعلان
- 3 نوفمبر 2026
- آخر موعد للتقديم
- 2 يناير 2027
- نوع الوظيفة
- عقد مؤقت
- القطاع
- خاص
- الجنس
- للجنسين
- الراتب
- 55 – 120 USD / بالساعة
وصف الوظيفة
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
- 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.
- 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
Originally posted on Himalayas
طريقة التقديم
- اضغط على زر «قدّم الآن» للانتقال إلى صفحة الإعلان الأصلية (Himalayas).
- تأكد من انطباق الشروط عليك وجهّز سيرتك الذاتية والمستندات المطلوبة.
- أكمل التقديم قبل 2 يناير 2027.
احذر من الاحتيال: التوظيف الحقيقي لا يتطلب دفع أي رسوم. لا تشارك بياناتك البنكية مع أي جهة تدّعي التوظيف.
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