🛠 Tech Stack

💼 About This Role

You'll serve as the primary technical advisor for strategic customers using large-scale GPU cloud infrastructure. You'll support AI/ML solution design, deployment, and optimization while building long-term trusted relationships. This fully remote role offers access to cutting-edge AI technologies and strong growth opportunities.

🎯 What You'll Do

• Design and deploy AI/ML solutions on GPU cloud infrastructure
• Optimize GPU performance for training and inference tasks
• Collaborate with sales teams on customer engagements and demos
• Troubleshoot complex issues in Kubernetes and cloud environments

📋 Requirements

• 5-10+ years in Solutions Architect or similar cloud role
• Hands-on experience with cloud infrastructure and GPU environments
• Expertise with Infrastructure as Code tools like Terraform and Ansible
• Proficiency in Kubernetes and Python programming

✨ Nice to Have

• Experience with HPC or ML frameworks like Slurm or Kubeflow
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow
• Knowledge of AI/ML tooling across AWS, Azure, Google Cloud, or NVIDIA ecosystems

🎁 Benefits & Perks

• 💰 Competitive salary with comprehensive employee benefits
• 🏡 Fully remote or flexible working arrangements within Europe
• 🚀 Work on cutting-edge AI, ML, and GPU cloud technologies at global scale
• 📈 Professional growth and career development in an expanding international environment
• 🌍 Exposure to large-scale AI infrastructure projects and strategic enterprise customers

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview with hiring manager· 60 min
3. 3Customer-facing case study or presentation· 60 min