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NebiusNE

Sr. Solution Engineer/Architect (GPU Infrastructure)

Nebius is a cutting-edge AI cloud platform that offers scalable infrastructure for developing and deploying AI solutions.

Nebius

Employee count: 201-500

United States only

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Why work at NebiusNebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we workHeadquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

Why work at Nebius

Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

Where we work

Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.

The team

You will join our Neocloud infrastructure organization supporting large-scale GPU clusters designed for AI training, inference, and high-performance computing (HPC) workloads. Our teams operate at the intersection of cloud infrastructure, hardware engineering, and customer-facing technical enablement, ensuring customers can deploy, scale, and optimize advanced AI workloads with confidence.

This is a highly collaborative environment where you will work closely with data center operations, networking, platform engineering, and product teams to deliver reliable, high-performance solutions and continuously improve the customer experience.

The role

As a Customer Solutions Engineer, you will act as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure on Nebius. You will bridge customer requirements with internal engineering capabilities, ensuring successful deployment, stable operations, and ongoing optimization of complex, high-performance environments.

This role requires a combination of strong customer engagement skills and deep technical expertise. You will work closely with customers throughout the lifecycle of their workloads—from initial deployment through scaling and optimization—with a focus on GPU-based systems and data center infrastructure.

Your responsibilities will include:

  • Acting as the main technical interface for customers running workloads on Nebius GPU infrastructure.
  • Supporting customers in deploying, configuring, and tuning GPU-based environments for performance and reliability.
  • Investigating and resolving complex issues spanning hardware, networking, operating systems, and cluster-level behavior.
  • Partnering with internal teams (data center operations, networking, platform engineering) to coordinate and drive resolution of customer-impacting issues.
  • Converting customer requirements into practical architectures, configurations, and execution plans.
  • Identifying opportunities to improve system performance, stability, and overall customer experience.
  • Developing and maintaining technical documentation, including solution patterns, troubleshooting guides, and operational best practices.
  • Contributing to continuous improvement by surfacing recurring issues, gaps, and optimization opportunities to internal teams.

We expect you to have:

  • Experience in a customer-facing technical role (e.g., solutions engineer, support engineer, technical account manager, or similar).
  • Strong understanding of GPU infrastructure, including NVIDIA-based systems, multi-node environments, and performance considerations.
  • Hands-on experience with Linux systems and system-level troubleshooting.
  • Familiarity with large-scale compute environments such as GPU clusters, AI infrastructure, or supercomputing systems.
  • Ability to diagnose issues across hardware, networking, and software layers.
  • Strong analytical and problem-solving skills, with the ability to operate effectively in high-pressure situations.
  • Excellent communication skills, with the ability to explain complex technical concepts clearly to customers.
  • A proactive, ownership-driven approach with a strong focus on customer success.

Nice to have:

  • Experience working with NVIDIA Grace Blackwell or similar next-generation GPU platforms.
  • Experience with cluster validation, benchmarking, or performance testing tools (e.g., HPL, NCCL)

What we offer

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible 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!

About the job

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Nebius

Learn more about Nebius and their company culture.

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At Nebius, we offer an advanced AI cloud platform designed for those who wish to develop, tune, and deploy their AI models with the most efficient infrastructure available. Our platform utilizes cutting-edge NVIDIA GPU clusters, including the H100 and H200, optimized for maximum performance with InfiniBand. One of the standout features of Nebius is our comprehensive fine-tuning ecosystem that includes on-demand GPUs and tools necessary for robust dataset processing, ensuring that AI teams can efficiently manage their computational resources according to demand.

We recognize the importance of AI inference in deploying real-world applications. Hence, we provide a resilient and cost-effective infrastructure that has been optimized for rapid deployment of Generative AI applications. Our services span the entire lifecycle of AI solutions, from model training to inference, making Nebius not just a GPU cloud but a full-stack AI platform. Additionally, we pride ourselves on supporting our clients with 24/7 expert guidance, offering resources to help architects and engineers harness our AI-optimized data centers to build scalable solutions.

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