GPU Cluster Architect
- Salary
- $184K - $318K
- Level
- Lead
- Work type
- Remote · US only
- Visa
- Not stated
Open. First seen 3 October 2026.
The team: Infrastructure HIRES STEADILY
This role is one of 57 open in Infrastructure. 6 were posted in the last 30 days and the oldest in November: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Linux (26 of 57), Embedded Systems (13 of 57), Python (8 of 57), Bash (5 of 57), Golang (5 of 57), Jira (5 of 57), Agile (4 of 57)
OTHER ROLES ON THIS TEAM
- DC Facilities Engineer posted Oct 14
- DC Facilities Engineer posted Oct 2
- L3 Support Engineer, Data Center Infrastructure posted Oct 1
- L3 Support Engineer, Data Center Infrastructure posted Oct 1
- L3 Support Engineer, Data Center Infrastructure posted Oct 1
- Field Data Center Hardware Engineer posted Sep 29
- Data Center IT Technician posted Sep 15
- Structured Cabling Design Engineer posted Aug 25
- Data Center Operations Technician posted Aug 19
- Field Network Technician posted Aug 13
- Technical Due Diligence Manager- Data Centers, EMEA posted Jul 24
- Mechanical Data Center Operations Technician posted Jul 16
- Data Center - Project Development Manager posted Jul 15
- Data Center - Site Selection & Colocation Manager posted Jul 15
- Technical Program Manager – Data Center Infrastructure Deployments posted Jul 14
- Data Center IT Manager posted Jul 13
- Data Center Facilities Manager posted Jul 8
- Technical Program Manager, Data Centers posted Jun 25
- Senior Embedded Software Engineer posted Jun 11
- Data Center Technician posted May 28
- Data Center Electrical Lead posted May 28
- Data Center Operations Technician (Electrical) posted May 26
- Chief Power Engineer (Data Centers) posted May 20
- Technical Project Manager (Hardware) posted May 19
- Field Technical Lead – Data Center Deployments (Israel) posted May 15
- L2 IT technician (project tasks) posted May 15
- Technical Project Manager / IT Infrastructure Engineer posted May 15
- Advanced IT Technician posted May 15
- L1 IT Technician posted May 15
- Senior Technical Project Manager (Hardware Automation) posted Apr 30
- Data Center IT Infrastructure Engineer posted Apr 21
- Technical Project Manager (Server & Network) posted Apr 2
- Sr. Solutions Engineer (GPU Infrastructure) posted Mar 24
- Data Center IT Manager posted Mar 19
- Technical Program Manager - New Data Center Launches posted Mar 19
- Data Center IT Technician - Masmiya posted Mar 5
- Data Center IT Technician - Beit Shemesh posted Mar 4
- L3 Support Engineer posted Mar 3
- L3 Support Engineer posted Mar 3
- Field Engineer (Hardware Delivery) posted Mar 2
- Associate Data Center Technician posted Mar 2
- IT Infrastructure Engineer – RMA & Hardware Diagnostics posted Feb 25
- Data Center Technician posted Feb 20
- Technical Project Manager / IT Infrastructure Engineer posted Feb 4
- Senior Technical Program Manager - New Data Center Launches posted Feb 4
- Field Technical Lead – Data Center Deployments posted Feb 3
- Field Technical Lead – Data Center Deployments posted Feb 2
- Senior AI Infrastructure Systems Engineer (R&D / GPU / AI) posted Jan 28
- Data Center IT Technician posted Jan 28
- Site Selection & Colocation Manager – Data Centers posted Dec 2
- Software Engineer in Hardware Infrastructure Observability posted Nov 27
- Senior Technical Program Manager - New Data Center Launches posted Oct 29
- Site Reliability Engineer in Hardware Infrastructure posted Sep 19
- L3 Support Engineer (SOPs and Runbooks) posted Aug 18
- Senior Supply Chain Manager - Hardware posted Feb 21
- Software Engineer in Hardware Infrastructure posted Nov 14
From the team and dates on Nebius's own job board.
About the 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
We are seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage — ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads.
This is a high-impact, hands-on architecture role where you’ll define how tens of thousands of GPUs are interconnected, cooled down, powered, and optimized across multiple data center sites.
You are welcome to work remotely from the USA.
Your responsibilities will include:
- Cluster Design: Architect scalable GPU cluster topologies including compute nodes, interconnect (InfiniBand, Ethernet), storage, and control planes.
- Performance Modeling: Analyze AI/ML workloads (e.g. LLM training, inference) to inform design tradeoffs across latency, bandwidth, and GPU density.
- Network Architecture: Align with network architect relevant design and validate low-latency, high-throughput interconnects (e.g., InfiniBand HDR/NDR, RoCEv2) at POD and DC scale.
- Storage Integration: Work with storage teams to optimize performance for training datasets, checkpointing, and others.
- Reliability & Monitoring: Understand and analyze signal from monitoring systems to the detect flows in design
- Collaboration: Partner with site reliability, networking, storage, and DC engineering teams to operationalize and scale your architecture.
We expect you to have:
- 5+ years of experience designing clusters.
- Deep understanding of modern GPU architecture (NVIDIA, AMD, etc.).
- Experience with HPC interconnects (InfiniBand & RoCE).
- Solid background in systems architecture, networking, and hardware reliability.
- Experience in scripting for automation and telemetry pipelines (Python, Go, etc.)
Key employee benefits in the US:
- 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 $184K to $318K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades.
What we offer
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Hybrid working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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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