Customer Engineer

About the role

Nebius is seeking a Customer Engineer to serve as a trusted technical advisor for strategic GPU Cloud services customers. The role involves helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads. You will collaborate with sales and product teams to drive growth, enhance customer satisfaction, and provide technical expertise.

Responsibilities

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

Required skills

• Solutions Architecture
• Technical Account Management
• Cloud services
• AI/ML workloads
• Terraform
• Ansible
• Kubernetes
• Python
• GPU computing
• ML training
• CUDA
• OpenCL

Nice to have

• Slurm
• Kubeflow
• PyTorch
• TensorFlow
• Project management

Qualifications

• 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer

Benefits

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment

About the Company

Nebius is leading a new era in cloud infrastructure for the global AI economy, building a full-stack AI cloud platform for developers and enterprises. Listed on Nasdaq and headquartered in Amsterdam, the company has a global footprint with R&D hubs across Europe, the UK, North America and Israel.