Data Center Design Lead

Nebius Inc.
United States
1 day ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$90,000.0 - $220,000.0
Working hours
Regular working hours
Job source

Tech stack

Data Centers Uptime Modular Design AI Infrastructure Templating

Job description

The Data Center Design Lead will partner with internal infrastructure, hardware, and operations teams, as well as external consultants, engineers, and construction firms, to deliver designs that support rapid deployment and long-term operational excellence.

This role leads internal electrical and mechanical engineers, oversees third-party design partners, and ensures all designs meet Nebius standards, local regulations, and operational requirements.

You will be responsible for both hands-on design oversight and technical leadership, serving as the final authority on data center design decisions., Design Leadership

  • Own the end-to-end design process for new data center builds and expansions.
  • Translate business, hardware, and workload requirements into facility design specifications (power, cooling, network, and floor space).
  • Ensure designs optimize density, reliability, and efficiency while supporting rapid scalability.
  • Coordinate with mechanical, electrical, and plumbing (MEP) engineers and consultants to deliver detailed designs.

Power & Cooling Strategy

  • Define requirements for high-density rack power, redundancy and UPS configurations.
  • Lead cooling design trade-offs (air, liquid, immersion) to meet GPU cluster needs.
  • Evaluate and integrate renewable energy and sustainability initiatives.

Network & Infrastructure Integration

  • Work closely with network and hardware teams to ensure physical layout supports cabling, interconnects, and future expansion.
  • Plan for modular design that enables incremental GPU cluster growth.

Compliance & Standards

  • Ensure all designs comply with international and regional standards (e.g., Uptime Institute Tier guidelines, local building codes).
  • Incorporate safety, fire suppression, and physical security measures.
  • Define documentation and as-built standards for ongoing operations.

Cross-Functional Collaboration

  • Coordinate with construction project managers and external contractors during build phases.
  • Provide design oversight during commissioning and handover to operations.

Continuous Improvement

  • Evaluate emerging GPU data center technologies and integrate innovative solutions.
  • Develop playbooks and design templates for repeatable, fast deployments.
  • Benchmark efficiency (PUE, WUE) and reliability across sites to drive improvement.

Requirements

  • 12+ years of experience designing data centers.

  • Direct experience with electrical, mechanical, and architectural DC design.

  • Degree in Electrical Engineering, Mechanical Engineering, or Architecture (or equivalent).

  • Proven leadership experience managing technical design teams.

  • Strong stakeholder communication skills across construction, operations, and external partners.

  • Experience designing high-density data centers, including: Air-cooled environments & Liquid-cooled technologies

Nice to Haves:

  • Experience designing data centers for hyperscalers or neoclouds

  • Prior experience supporting GPU dense or AI infrastructure environments., 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.

Benefits & conditions

Key employee benefits:

  • Health insurance: 100% company-paid medical, dental and vision coverage for employees and families.
  • 401(k) plan: Up to 4% company match with immediate vesting.
  • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote work reimbursement: Up to $85/month for mobile and internet.
  • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation We offer competitive salaries, ranging from $90,000-$220,000 based on your experience

Benefits & Perks:

  • 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

What’s it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

About the company

Nebius 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:22 min

Leveraging unique cultural backgrounds in engineering design

Ixchel Ruiz · LIVE

1:29 min

Tech infrastructure capacity and AI product innovations

5:08 min

The essential sections of a Backstage software template

Um e Habiba Um e Habiba · Europe 2026 Virtual

51 sec

Repurposing hardware and operating underwater data centers

Chris Heilmann +1 · LIVE

4:03 min

Managing massive power consumption scaling in AI data centers

Stephan Gillich Stephan Gillich +3 · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all