6 дней назад
Digital Engineering – Requirements Engineering Intern (Summer 2027)
20 - 45$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Digital Engineering – Requirements Engineering Intern (Summer 2027) (Systems Engineering/Python): Supporting requirements elicitation, documentation, traceability, and architecture decisions for multi-domain national-security programs with an accent on digital twins, digital threads, and model-driven engineering. Focus on translating mission objectives into verifiable specifications, conducting trade-space analysis, and developing Python-based requirement-analysis workflows.
Location: Lowell, Massachusetts, United States
Salary: $20.00–$45.00 per hour
Company
is an independent, nonprofit research and development company delivering engineering solutions for national security, space exploration, biomedical engineering, and other complex domains.
What you will do
- Assist with eliciting functional and non-functional requirements from stakeholders and documenting clear, verifiable specifications.
- Maintain requirements traceability matrices and connect requirements with architectural elements and test cases.
- Support systems engineering, digital engineering, digital twin, digital thread, and model-driven engineering activities.
- Conduct requirement analysis, identify gaps or conflicts, propose mitigations, and support process improvements.
- Implement, test, analyze, and document engineering solutions, including Python-based requirement-analysis workflows.
- Prepare technical reports and presentations containing plots, tables, evaluation criteria, and conclusions.
Requirements
- US citizenship is required.
- Currently pursuing a bachelor's or graduate degree in engineering, computer science, physics, or a related STEM field.
- Experience translating high-level mission objectives into detailed, verifiable requirements specifications.
- Experience with trade-space analysis in a model-driven environment and assessing performance impacts of alternative designs.
- Scientific programming experience in Python and strong written and verbal communication skills.
- Ability to work independently and collaboratively in a process-oriented environment while adapting to shifting priorities.
Nice to have
- Knowledge of Systems Engineering, Model-Based Systems Engineering, and Data Science.
- Familiarity with MagicDraw or other SysML tools for requirements modeling and traceability management.
- Exposure to trade-space exploration, data-state management, and multi-domain data architectures.
Culture & Benefits
- Collaborative, multidisciplinary research and development environment.
- Flexible hours and program duration based on the student’s academic schedule and availability.
- Training in Model-Based Systems Engineering, Trade Space Exploration, and Python-based data workflows.
- Workplace flexibility programs, employee clubs, health and finance workshops, social events, and local cultural discounts.
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