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13 часов назад

Digital Engineering Data Solutions Architect (Systems Engineering)

75 000 - 156 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Digital Engineering Data Solutions Architect (Systems Engineering): Developing next-generation relational cross-domain data architectures for national security systems with an accent on model-driven digital engineering and lifecycle management. Focus on integrating descriptive modeling tools with simulation environments to support complex systems from conceptual design to deployment.

Location: Must be based in Cambridge, MA

Salary: $75,000–$156,000

Company

hirify.global is an independent, nonprofit research and development company focused on delivering innovative solutions for national security, space exploration, and biomedical engineering.

What you will do

  • Develop and implement relational cross-domain data architectures for complex systems.
  • Execute systems engineering lifecycle assignments including architecture design, integration, and testing.
  • Translate complex requirements into actionable technical and architectural decisions.
  • Collaborate with multidisciplinary teams to integrate descriptive modeling tools with simulation platforms.
  • Contribute high-quality technical content for reports and project presentations.
  • Proactively identify design concerns and communicate them to project leadership.

Requirements

  • Bachelor’s degree in Aerospace, Electrical, Mechanical, or related Engineering field (Master’s preferred).
  • 3-5 years of experience in systems analysis or related engineering roles.
  • Proficiency in MBSE tools such as SysML and experience with MATLAB/Simulink.
  • Experience designing schemas for workflows, relational ontologies, and API integration.
  • Must be able to obtain and maintain a government security clearance.
  • Strong communication skills for interacting with customers and stakeholders.

Nice to have

  • Experience with machine learning and data science applications in engineering.
  • Knowledge of data management across various program protection levels.
  • Experience with trade space exploration (TSE).

Culture & Benefits

  • Commitment to work-life balance with workplace flexibility.
  • Access to employee clubs, health and finance workshops, and social events.
  • Inclusive environment with equal opportunity employment practices.
  • Opportunities for continuous learning and professional growth in a renowned R&D setting.

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