🛠 Tech Stack

💼 About This Role

You'll serve as a trusted technical advisor for strategic customers, helping them design and optimize AI/ML workloads on large-scale GPU cloud infrastructure. You'll bridge customer needs with internal engineering to drive product evolution and customer success. This role offers flexible remote work and access to cutting-edge AI technologies.

🎯 What You'll Do

• Advise strategic customers on GPU cloud infrastructure design and deployment.
• Optimize GPU performance for ML training and inference tasks.
• Collaborate with sales teams on technical engagements and presentations.
• Troubleshoot complex issues in AI/ML, Kubernetes, and cloud environments.

📋 Requirements

• 5-10+ years as Solutions Architect or similar cloud-focused role.
• Cloud infrastructure and GPU environment expertise.
• Hands-on experience with Kubernetes and Python.
• Experience with Infrastructure as Code (Terraform, Ansible).

✨ Nice to Have

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

🎁 Benefits & Perks

• 💰 Competitive salary with comprehensive benefits.
• 🏠 Fully remote or flexible working within Europe.
• 🚀 Cutting-edge AI/GPU tech at global scale.
• 📈 Professional growth in a fast-expanding environment.
• 🌍 Inclusive culture with collaborative innovation.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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