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Роль четко определена с акцентом на модульный дизайн в растущей компании по инфраструктуре ИИ, но отсутствие информации о зарплате является недостатком.
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Нет информации о зарплатеСильный рост компанииЧеткие обязанностиГибридный формат работы
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Текст:
Hirify AI/Оригинал
TL;DR
Modular Product Line Engineer (EMEA) (Data Center Construction): Developing standardized, repeatable modular data center designs that can be replicated across sites with an accent on configuration options, component interfaces, and cross-disciplinary engineering. Focus on owning the modular roadmap, productizing bespoke infrastructure designs, and reducing deployment time and cost through iterative product-line improvements.
Location: Hybrid, based in Helsinki or across EMEA, with travel to project sites as required.
Company
hirify.global is building a full-stack AI cloud spanning data centers, hardware, and a cloud platform for AI teams.
What you will do
Develop standardized, repeatable modular data center designs that can be replicated across sites.
Own the modular product roadmap and configuration options.
Work with electrical, mechanical, and structural engineering to standardize components and interfaces.
Define design principles that maintain module consistency while allowing site-specific variation.
Reduce deployment time and cost through each product-line iteration.
Requirements
Bachelor's degree in Mechanical, Electrical, or Industrial Engineering, or Product Design.
5 to 8 years of experience developing modular or prefabricated infrastructure or industrial products.
Strong systems thinking around standardization and interfaces.
Ability to drive a roadmap across multiple engineering disciplines.
Nice to have
Experience with data centers or mission-critical infrastructure.
Experience taking a design from bespoke to productized and repeatable.
Culture & Benefits
Hybrid work based in Helsinki or across EMEA, with travel to project sites as required.
Full-time, permanent employment.
Cash and equity compensation with additional fringe benefits.
Opportunity to work with engineers, researchers, and partners across the global AI ecosystem.
International environment with 31 nationalities and rapid, sustained growth.
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