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Sr. Solution Engineer/Architect (GPU Infrastructure)

Nebiusβ€’United Statesβ€’πŸŒ Remote
Full-timeSenior
$180k - $220k
per year
πŸ‘οΈ 0 viewsβ€’πŸ“ 0 applicationsβ€’Posted 8/23/2026β€’Expires 10/22/2026
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Job Description

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 Nebius is looking for a Sr. Solution 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.

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 practic

Required Skills

DocumentationMachine Learning

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