🛠 Tech Stack

💼 About This Role

You'll serve as a trusted technical advisor for strategic customers using large-scale GPU cloud infrastructure, helping design and optimize AI/ML workloads in highly scalable environments. You'll collaborate with engineering and sales teams to drive customer success and technical innovation. This fully remote role offers access to cutting-edge AI technologies and strong growth opportunities.

🎯 What You'll Do

• Serve as primary technical advisor for strategic GPU cloud customers
• Design, deploy, troubleshoot, and scale AI/ML solutions
• Optimize GPU performance for training and inference
• Collaborate with sales teams and act as liaison with product/engineering

📋 Requirements

• 5-10+ years in Solutions Architect or similar cloud-focused role
• Hands-on experience with AI/ML workloads and large-scale GPU environments
• Expertise with Terraform and Ansible
• Practical experience with Kubernetes and Python

✨ Nice to Have

• Experience with HPC/ML orchestration like Slurm or Kubeflow
• Familiarity with deep learning frameworks (PyTorch, TensorFlow)
• Knowledge of AI/ML tooling across cloud providers (AWS, Azure, GCP, NVIDIA)

🎁 Benefits & Perks

• 💵 Competitive salary with comprehensive employee benefits
• 🏠 Fully remote or flexible working arrangements within Europe
• 🤖 Cutting-edge AI/ML/GPU cloud technologies at global scale
• 📈 Professional growth and career development opportunities
• 🤝 Collaborative and innovation-driven culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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