🛠 Tech Stack

💼 About This Role

You'll act as a trusted technical advisor, designing and optimizing high-performance AI/ML solutions on large-scale GPU cloud environments. Your work will directly shape the future of AI infrastructure while influencing product evolution. This remote-first role offers strong autonomy and exposure to cutting-edge projects.

🎯 What You'll Do

• Serve as primary technical advisor for strategic customers on AI/ML deployments
• Guide customers in designing scalable GPU cloud architectures for ML workloads
• Collaborate with sales teams to identify expansion opportunities
• Partner with product and engineering teams to align capabilities with client needs

📋 Requirements

• 5+ years in Solutions Architect or similar cloud/AI/ML roles
• Strong expertise in GPU computing (CUDA, OpenCL, ML training/inference)
• Hands-on experience with Infrastructure as Code (Terraform, Ansible)
• Practical knowledge of Kubernetes, Python, and cloud-native architectures

✨ Nice to Have

• Experience with distributed AI/ML systems or HPC orchestration
• Familiarity with AWS, Azure, Google Cloud, or NVIDIA ecosystems
• Fluent English communication skills

🎁 Benefits & Perks

• 💵 Competitive compensation
• 🏠 Fully remote work across Europe
• 📈 Career development opportunities
• 🛠️ Exposure to cutting-edge AI and GPU cloud technologies
• 🌍 International, innovation-driven culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Customer-Facing Assessment· 60 min
4. 4Offer· 24-48 hours