EuropeMechanical Engineer- Data Centers
1 мес. назад
EuropeWorldwideSeniorRemote
Mechanical Engineer role focused on data center infrastructure for AI cloud platform growth, involving technical feasibility validation and collaboration across teams.
Обязанности
- As a Mechanical Engineer, you'll provide the technical mechanical engineering perspective across the acquisition and development lifecycle — from initial site and deal evaluation through construction readiness. Working within the Infrastructure Acquisition Group, you'll partner with Site Selection, Technical Due Diligence, Development, Energy, Finance, and Delivery to ensure every project's mechanical systems, cooling strategy, and equipment assumptions are technically sound before they move forward.
- This is a build-phase role on a build-phase team. Many of the technical evaluation standards, design criteria, and readiness gates you'll use are still being written — in some cases, you'll help write them. We're looking for someone who can independently assess complex mechanical infrastructure while helping build the systems that make every future evaluation faster, more predictable, and more scalable.
Будет плюсом
- 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.
Условия
- The infrastructure supporting AI is being built now. This is an opportunity to help define how evaluates and designs the mechanical systems behind every AI infrastructure acquisition while helping build the function itself — the technical standards, design criteria, and evaluation framework that will support infrastructure investments across the Americas. You'll work on some of the industry's largest and most complex AI infrastructure developments while helping shape the physical foundation of the global AI economy.
- 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
Другое
- is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
- Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
- Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
- The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the AI Cloud. We identify where should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online.
- We're a small, founding team building this function from the ground up across the Americas, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales.
- Validate technical feasibility before commercial commitment. A site or agreement is only as good as its ability to support the mechanical infrastructure required to run it. You'll lead mechanical due diligence, cooling capacity analysis, and equipment feasibility review to inform Go / No-Go decisions before deals close.
- Keep mechanical design decisions ahead of development. Coordinate with Site Selection, Development, Engineering, and Delivery so cooling topology, capacity assumptions, and equipment strategy are validated early enough to protect schedule and budget once construction begins.
- Build a repeatable technical evaluation program. Help establish the standards, design criteria, and technical readiness gates that will support mechanical engineering review across every AI infrastructure acquisition in the Americas.
- 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.
- Ensure every acquisition is grounded in sound mechanical engineering judgment before commercial commitment.
- Deliver predictable, technically validated cooling and mechanical strategies across the portfolio.
- Identify and resolve mechanical technical risks before they impact construction.
- Build trusted relationships with equipment vendors, consulting engineers, and commissioning partners.
- Help build the technical standards and evaluation processes the Infrastructure Acquisition Group runs on as it scales.
- You're comfortable operating in ambiguity and building technical evaluation processes where none exist. You know how to independently assess complex mechanical infrastructure while helping define how future projects should be evaluated.
- 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.
- Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
- is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
- Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
- If you need accommodations during the application process, please let us know.