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Nebius

Runs GPU clouds for AI training and deployment

Mechanical Design Engineer - Data Centers

Building Services EngineeringConfirmed live in the last 24 hours
Full-timeUnited States$115k - $225k

About the Job

Requirements

  • Experience supporting hyperscale data center or AI infrastructure development.
  • Experience with building management system (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.
  • Ability to independently assess complex mechanical infrastructure and help define technical evaluation processes for future projects.
  • At least 8 years of experience in data center mechanical engineering, mechanical, electrical, and plumbing (MEP) design, or mission-critical mechanical systems.
  • Experience with cooling topology design, liquid cooling systems, chiller plants, and computer room air handler (CRAH) and computer room air conditioner (CRAC) systems for high-density AI or hyperscale environments.
  • Strong understanding of mechanical capacity planning, equipment selection, and capital expenditure trade-offs in data center design.
  • Experience evaluating the mechanical feasibility of sites or facilities before commercial commitment.
  • Bachelor's degree in Mechanical Engineering or a related discipline, or equivalent experience.
  • Authorization to work in the country of application and proof of employment eligibility as a condition of hire.

Responsibilities

  • Lead mechanical engineering evaluations for data center opportunities.
  • Assess cooling infrastructure, HVAC systems, and critical mechanical equipment.
  • Evaluate air-cooled, liquid-cooled, and hybrid cooling solutions for AI and hyperscale environments.
  • Provide mechanical feasibility recommendations and Go/No-Go project input.
  • Conduct technical due diligence on existing and new data center facilities.
  • Review cooling capacity, chiller plants, CRAH/CRAC systems, and liquid cooling readiness.
  • Evaluate equipment availability, vendor capabilities, lead times, and deployment risks.
  • Support cooling topology, mechanical design strategy, and equipment selection decisions.
  • Validate mechanical design assumptions, capacity requirements, and construction readiness.
  • Partner with engineering teams, vendors, and consultants to ensure scalable, reliable data center solutions.
  • Provide on-site presence at data centers as required.

Desired 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.

About the Company

Nebius

Runs GPU clouds for AI training and deployment

Nebius runs an AI cloud for developers, researchers, and enterprises that train models and put them into production. Its AI Cloud combines GPU computing, storage, networking, and managed services, while Token Factory runs models through an API so teams do not manage the underlying servers. Customers rent computing and storage at usage rates or reserve capacity, choosing resources that fit short experiments or sustained production workloads. Beyond the cloud, the group owns Avride, which develops autonomous vehicles and delivery robots, and TripleTen, which teaches technical skills for people changing careers. The publicly listed group is headquartered in Amsterdam, Netherlands.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
1997

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