[All remote jobs](https://jobicy.com/jobs.md)[![Nebius logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/d90c0566-221.webp)](https://jobicy.com/company/nebius.md)[Nebius](https://jobicy.com/company/nebius.md) # Data Center Design Lead Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/nebius.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 90k–220k / yrDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished2 Oct 2026Apply before1 Nov 2026Listing views56Application actions2Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Nebius is seeking a senior Data Center Design Lead to own end-to-end facility design for new builds and expansions supporting AI and GPU infrastructure. The role leads internal electrical and mechanical engineers, manages external design partners, and acts as the final authority on data center design decisions. Core work includes high-density power and cooling strategy, MEP coordination, network-layout integration, regulatory compliance, commissioning oversight, and standardizing repeatable deployment designs. The position requires 12+ years of data center design experience, technical leadership capability, and strong collaboration across construction, operations, hardware, and external contractors. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a highly senior technical leadership role requiring broad expertise across electrical, mechanical, architectural, operational, and construction disciplines. The lead must make high-impact design decisions for rapidly scaling, GPU-dense facilities while balancing reliability, cost, compliance, sustainability, and deployment speed. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$155,000US market range$150k–$230k0$253k AI insightThe disclosed annual salary range is $90,000 to $220,000 USD, with a midpoint of $155,000. For a US-based senior data center design lead with 12+ years of experience and AI/GPU infrastructure responsibilities, an estimated market range is approximately $150,000 to $230,000 USD annually; actual compensation can vary by location, scope, credentials, and leadership responsibility. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data center design](https://jobicy.com/jobs?search_keywords=Data%20center%20design.md)[Electrical engineering](https://jobicy.com/jobs?search_keywords=Electrical%20engineering.md)[Mechanical engineering](https://jobicy.com/jobs?search_keywords=Mechanical%20engineering.md)[MEP coordination](https://jobicy.com/jobs?search_keywords=MEP%20coordination.md)[High-density computing](https://jobicy.com/jobs?search_keywords=High-density%20computing.md)[GPU infrastructure](https://jobicy.com/jobs?search_keywords=GPU%20infrastructure.md)[Power systems](https://jobicy.com/jobs?search_keywords=Power%20systems.md)[Liquid cooling](https://jobicy.com/jobs?search_keywords=Liquid%20cooling.md)[Data center commissioning](https://jobicy.com/jobs?search_keywords=Data%20center%20commissioning.md)[Uptime and building-code compliance](https://jobicy.com/jobs?search_keywords=Uptime%20and%20building-code%20compliance.md) Sample interview questionsHow would you translate projected GPU cluster demand into a scalable data center facility design?I would begin by gathering rack-density, growth, availability, network, and deployment-timeline requirements from hardware and infrastructure stakeholders. I would convert those inputs into modular power, cooling, white-space, and connectivity requirements, then evaluate phased build options that preserve expansion capacity while avoiding stranded capital. The final design would include clear capacity assumptions, redundancy targets, commissioning criteria, and operational handoff documentation. Describe how you evaluate air cooling, direct-to-chip liquid cooling, and immersion cooling for a high-density deployment. I compare the options against rack power density, workload heat profile, water availability, maintainability, supply-chain maturity, cost, and time to deploy. Air cooling may suit lower-density or transitional environments, while direct-to-chip liquid cooling is often effective for modern GPU clusters with demanding thermal loads. I would select a solution through lifecycle cost analysis and operational risk review, ensuring it can scale with future hardware generations. What approach would you use to ensure reliability while designing UPS and power-distribution systems? I would define the required availability tier and fault-tolerance objectives, then model utility paths, generators, UPS topology, switchgear, PDUs, and rack distribution against credible failure scenarios. I would incorporate maintainability, selective coordination, monitoring, and safe maintenance bypasses into the design. The approach would be validated through design reviews, failure-mode analysis, and integrated systems testing during commissioning. How do you manage conflicts between internal engineering teams, consultants, and construction partners during a fast-paced build? I establish a documented decision-making process, design basis, responsibility matrix, and regular cross-functional review cadence at the start of the project. When conflicts arise, I use technical evidence, schedule impact, cost, code requirements, and operational consequences to frame options and drive a timely decision. I also maintain an auditable log of decisions and changes so all parties work from a single source of truth. Which metrics would you use to drive continuous improvement across multiple data center sites? I would track PUE, WUE where relevant, capacity utilization, rack power density, cooling performance, commissioning defects, deployment lead time, availability events, and maintenance-related risk indicators. I would normalize metrics for climate and site constraints, identify recurring design or operational issues, and convert findings into standards, templates, and playbooks. This creates a feedback loop that improves reliability and speeds future deployments. Opportunity details ## About this role. About Nebius: 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. The Role 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. Location: Remote, US Responsibilities: 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. 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 Equal Opportunity Statement: Nebius 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. 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