Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Company hidden предлагает чётко очерченную роль с техническим влиянием в области аэрокосмической оптимизации, хорошими льготами и современной научной разработкой ПО; без указанной зарплаты сложнее оценить финансовую привлекательность.
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Зарплата не раскрытаСовременный стекЧёткая зона ответственностиСильная отраслевая специализацияХороший пакет льгот
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Professional, Engineering - Multidisciplinary Design, Analysis & Optimization (MDAO / MDO) (MDAO/MDO, Aerospace): Design and maintain large-scale scientific software tools for an industrial multidisciplinary optimization framework with an accent on architecture, reusable workflows, and digital engineering integration. Focus on developing CI/CD and automated testing infrastructure, integrating optimization algorithms and machine-learning models, and solving complex aerospace engineering problems across aircraft design and performance teams.
Location: St-Laurent, Quebec, Canada; flexible and hybrid work policies may apply.
Company
hirify.global designs, builds, and maintains high-performance aircraft for businesses, governments, and militaries.
What you will do
Design, develop, and maintain software tools for a large-scale industrial Multidisciplinary Design, Analysis and Optimization framework.
Lead the architecture, evolution, maintenance, and continuous improvement of the optimization framework.
Own CI/CD pipelines, automated testing, code reviews, versioned releases, and user-facing documentation.
Design and validate reusable, maintainable, and extensible workflows with disciplinary domain owners.
Integrate optimization algorithms, machine-learning models, disciplinary analysis tools, and pre- and post-processing utilities into the Digital Engineering environment.
Collaborate with aircraft design, analysis, systems, and performance teams; present technical decisions and contribute to the technology roadmap.
Requirements
Master’s degree or Ph.D. in Aerospace Engineering, Mechanical Engineering, Applied Mathematics, Scientific Computing, or a related field.
Hands-on experience developing, maintaining, and using MDO/MDAO frameworks such as OpenMDAO or GEMSEO.
Experience with Git, Azure DevOps or GitLab, CI/CD, automated testing, code review, and release management.
Experience building and maintaining large-scale scientific software frameworks with strong architecture, modularity, and maintainability.
Experience with High-Performance Computing and Windows and Linux environments.
Strong analytical, problem-solving, scientific communication, collaboration, and knowledge-sharing skills.
Nice to have
Experience with AI-agent-assisted software development.
Experience integrating advanced tools into a Digital Engineering environment.
Understanding of aircraft systems and their impact on aircraft configuration and structure.
Ability to translate scientific publications and state-of-the-art methods into industrial solutions.
Culture & Benefits
Flexible and hybrid work policies may apply.
Dental, medical, life, and disability insurance.
Retirement savings plan and Employee Assistance Program.
Telehealth program and employee growth and development support.
Regular collaboration with senior experts, fellows, and decision-making bodies.
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