🛠 Tech Stack

💼 About This Role

You'll act as a trusted technical advisor for strategic customers, helping them design and optimize AI/ML workloads on large-scale GPU cloud infrastructure. You'll drive customer success and technical innovation while collaborating with engineering, product, and sales teams. This fully remote role offers exposure to cutting-edge AI technologies and strong growth opportunities in a fast-evolving global environment.

🎯 What You'll Do

• Serve as primary technical advisor for strategic customers.
• Design, deploy, and scale AI/ML solutions on GPU infrastructure.
• Optimize GPU performance for training and inference tasks.
• Guide customers on cloud architecture best practices.

📋 Requirements

• 5 to 10+ years experience in solutions architect or similar role.
• Hands-on experience with AI/ML workloads and GPU environments.
• Expertise in Terraform and Ansible.
• Proficiency in Kubernetes and Python.

✨ Nice to Have

• Experience with HPC or ML orchestration (Slurm, Kubeflow).
• Familiarity with deep learning frameworks (PyTorch, TensorFlow).
• Knowledge of AI/ML tooling on AWS, Azure, GCP, or NVIDIA ecosystems.

🎁 Benefits & Perks

• 💰 Competitive salary with comprehensive benefits.
• 🏠 Fully remote or flexible working in Europe.
• 🚀 Cutting-edge AI and GPU cloud technologies.
• 📈 Professional growth and career development.
• 🤝 Collaborative culture encouraging initiative.

📨 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