Nebius

GPU Cluster Architect

USA, United States full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
Sign in to apply Free account — we bring you straight back to this role.

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.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT API integration Python Remote Collaboration Gpu Cluster Mid level

Likely questions

  1. Tell us about work you have done that is close to the GPU Cluster Architect role.
  2. How would you approach your first 30 days at Nebius?
  3. Which of API integration, Python and Remote Collaboration have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Python and Remote Collaboration.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the GPU Cluster Architect role because I can bring practical experience in API integration, Python and Remote Collaboration, learn the team quickly, and contribute to the outcomes Nebius needs from this hire.

Related jobs.

More roles from this company or category.