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Описание вакансии
Текст:
TL;DR
Construction Engineer (Data Centre) (AI infrastructure): Overseeing onsite construction operations for a data centre facility with an accent on contractor coordination, schedule validation, safety compliance, and quality reporting. Focus on aligning mechanical, electrical, plumbing, civil, and structural systems with business requirements, supporting commissioning and operations transition, and auditing project documentation.
Location: Onsite in Gumi, South Korea
Company
Nscale provides GPU cloud infrastructure engineered for AI startups and enterprise customers.
What you will do
- Represent Nscale onsite and oversee daily construction operations with the general contractor.
- Coordinate communication between Nscale leadership, contractors, and cross-functional stakeholders.
- Monitor contractor progress, manpower, schedules, procurement, production delivery, and QA/QC hold points.
- Enforce Nscale and contractor safety programs, supporting proactive risk management and quality delivery.
- Support equipment procurement, submittals, RFIs, field changes, issue resolution, and the transition from construction to operations.
- Maintain accurate Interface Management System and Electronic Document Management System reporting and documentation.
Requirements
- Bachelor’s degree in Construction Management, Engineering, or an equivalent qualification.
- At least 7 years of pre-construction experience managing data centres.
- Experience with large-scale data centre, mission-critical, or industrial construction projects.
- Working knowledge of mechanical, electrical, plumbing, civil, and structural systems in high-performance facilities.
- Experience working with commissioning teams and supporting the transition from construction to operations.
- Ability to work in a dynamic, high-intensity environment and be based onsite in Gumi.
Nice to have
- Proficiency in Procore.
- Familiarity with formal interface management and document control processes on large capital projects.
Culture & Benefits
- Work in an environment focused on innovation, ownership, and accountability.
- Contribute to infrastructure supporting AI development and enterprise workloads.
- Emphasis on safety, quality, sustainability, openness, and transparency.
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