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Customer Engineer

Salary not disclosed5+ yearsRemote

  • Full time
  • Yesterday
Newly posted

About the role

Nebius is seeking a Customer Engineer to act as a trusted technical advisor for strategic GPU Cloud services clients. You will help customers design, deploy, and scale AI solutions while managing large-scale GPU workloads. This role involves collaborating with sales and product teams to drive growth and ensure customer success.

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
  • Terraform
  • Ansible
  • Kubernetes
  • Python
  • GPU computing
  • CUDA
  • OpenCL

Nice to have

  • Slurm
  • Kubeflow
  • PyTorch
  • TensorFlow
  • Project management

Qualifications

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

Benefits

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture

About the Company

Nebius is a full-stack AI cloud platform supporting developers and enterprises from data and model training through to production deployment. Headquartered in Amsterdam and listed on Nasdaq, the company operates with a global footprint and a team of over 1,500 experts.