About the Job
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.
Key Responsibilities
Nebius is looking for a Sr. 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.
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.
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.
Required Skills & Abilities
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)
