🛠 Tech Stack

💼 About This Role

You'll serve as a trusted technical advisor for key Nebius GPU Cloud customers, helping them design, deploy, and scale AI solutions. Your core impact is optimizing GPU performance for large-scale ML training and inference workloads, while acting as a bridge between customers and product teams. This role stands out for its focus on managing hundreds to thousands of GPUs in a cutting-edge AI cloud environment.

🎯 What You'll Do

• Serve as primary technical point of contact for complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference.
• Partner with sales team to identify opportunities and deliver technical presentations.
• Act as bridge to product teams, relaying customer feedback and feature requests.

📋 Requirements

• 5+ years in Solutions Architect, Technical Account Manager, or Customer Engineer roles.
• Proficiency in IaC tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing including CUDA, OpenCL, and ML workloads.

✨ Nice to Have

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud.

🎁 Benefits & Perks

• 💰 Competitive salary and comprehensive benefits package.
• 📈 Opportunities for professional growth within Nebius.
• 🏠 Flexible working arrangements.
• 🤝 Dynamic and collaborative work environment that values initiative and innovation.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min