Mechanical Engineer – Data Centers

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• Lead mechanical engineering evaluation of prospective sites, colocation capacity, and build-to-suit opportunities. • Own technical assumptions for cooling topology, capacity, and equipment strategy feeding the pre-construction risk register. • Assess liquid cooling, air cooling, and hybrid strategies against site conditions, power density, and AI/hyperscale load requirements. • Recommend Go / No-Go input on mechanical feasibility as projects advance through key development milestones. • Deliver technically validated mechanical scope to the Delivery organization with complete documentation and minimized risk. • Lead mechanical due diligence on prospective sites, existing facilities, and colocation capacity under evaluation. • Evaluate cooling capacity, chiller plant strategy, CRAH/CRAC configuration, and liquid cooling readiness against projected IT load. • Assess mechanical equipment availability, lead times, and vendor constraints that could affect schedule or capex. • Ensure mechanical assumptions are fully integrated into project budgets, capacity models, and schedules. • Partner with Engineering to define cooling topology and mechanical system strategy appropriate to each site and deal structure. • Evaluate BMS controls integration and mechanical system commissioning requirements early in the acquisition process. • Provide technical input on equipment selection, redundancy strategy, and capex trade-offs across candidate sites. • Ensure mechanical design intent is preserved as deals move from negotiation into development. • Establish mechanical technical readiness criteria as part of project handoff standards. • Verify mechanical design assumptions, equipment specifications, and capacity commitments are complete before turnover to Delivery. • Identify and resolve mechanical technical risks before they impact construction. • Serve as the primary mechanical engineering technical interface across Site Selection, Technical Due Diligence, Development, Energy, and Delivery. • Coordinate with consulting engineers, equipment vendors, and commissioning agents to validate executable mechanical strategies. • Align internal stakeholders and external consultants to prevent technical scope drift as projects move from acquisition into development.

🎯 Requirements

• 8+ years of experience in data center mechanical engineering, MEP design, or mission-critical mechanical systems. • Experience with cooling topology design, liquid cooling systems, chiller plants, and CRAH/CRAC systems for high-density AI/hyperscale environments. • Strong understanding of mechanical capacity planning, equipment selection, and capex trade-offs in data center design. • Experience evaluating mechanical feasibility of sites or facilities prior to commercial commitment. • Excellent communication and executive presentation skills. • Bachelor's degree in Mechanical Engineering or a related discipline, or equivalent experience. • Preferred Qualifications • Experience supporting hyperscale data center or AI infrastructure development. • Experience with BMS controls integration and mechanical systems commissioning. • Professional Engineer (PE) license or similar professional certification. • Experience evaluating colocation or build-to-suit mechanical infrastructure in a due diligence capacity.

🏖️ Benefits

• Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams