About The Position

Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com. We are looking for a motivated undergraduate student to join the Digital Retrieval, Engineering, Architecture, and Management (DREAM) Group as a Junior Requirements Engineer coop or intern. Working under the guidance of a lead engineer, you will help define, analyze, and document system and data requirements for multi-domain national-security programs (e.g., strategic deterrent, missile-defense, hypersonic, space, precision-guided munitions, autonomous air/sea vehicles). This co-op/internship provides hands-on experience with digital twins, digital threads, and model-driven engineering while building a solid foundation in systems engineering and data architecture.

Requirements

  • Enrolled in an accredited full-time undergraduate or graduate degree program required.
  • Currently pursuing a bachelor’s degree in engineering, Computer Science, Physics or STEM related field
  • US Citizenship
  • Scientific programming experience in Python (useful for custom requirement-analysis scripts).
  • Strong verbal and written communication abilities to convey technical concepts to diverse audiences.
  • Ability to thrive in a process-oriented, collaborative environment and adapt to shifting priorities.
  • Experience translating high-level mission objectives into detailed, verifiable requirements specifications and linking those requirements to architectural elements and test cases.
  • Ability to conduct trade-space analysis (TSE) within a model-driven environment to evaluate alternative designs and assess performance impacts.

Nice To Haves

  • Demonstrated interest and knowledge in interdisciplinary work spanning Systems Engineering, Model-Based Systems Engineering (MBSE), and Data Science.
  • Familiarity with MagicDraw (or other SysML tools) for creating requirement models and managing traceability.
  • Exposure to trade-space exploration, data-state management, and multi-domain data architectures.

Responsibilities

  • Design, develop, and enhancement engineering solutions for challenging problems.
  • Implement, test, perform analysis, and provide documentation support.
  • Generate and present test reports including plots, tables, evaluation criteria, and conclusions from data collected and analyzed throughout the test process.
  • Complete assignments designed to develop a practical knowledge of processes, procedures, equipment, facilities, and systems as well as their interrelationships within engineering disciplines.
  • Performs other duties as assigned.
  • Assist in eliciting functional and non-functional requirements from stakeholders and translate them into clear, verifiable specifications.
  • Help maintain requirement traceability matrices and contribute to translating requirements into technical and architectural decisions.
  • Draft sections of technical reports, presentations, and requirement documents with minimal guidance.
  • Work closely with a lead engineer and interdisciplinary teams (systems engineering, machine learning, data science) in a process-oriented environment.
  • Identify gaps or conflicts in requirements, propose mitigations, and assist in updating best-practice processes.
  • Participate in training on Model-Based Systems Engineering (MBSE), Trade Space Exploration (TSE), and Python-based data workflows.

Benefits

  • workplace flexibility
  • employee clubs ranging from photography to yoga
  • health and finance workshops
  • off site social events
  • discounts to local museums and cultural activities
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service