🛠 Tech Stack

💼 About This Role

You'll serve as a trusted technical advisor for strategic enterprise customers, designing and optimizing high-performance AI/ML solutions in a fast-growing GPU cloud environment. Your work will directly shape the future of AI infrastructure while collaborating across sales, product, and engineering. This role offers strong autonomy and exposure to cutting-edge projects in a remote-first setting.

🎯 What You'll Do

• Serve as primary technical advisor for strategic customers on AI/ML workloads.
• Design scalable architectures for ML training and inference in GPU cloud.
• Collaborate with sales to identify expansion opportunities and support technical presentations.
• Partner with product and engineering teams to align capabilities with client needs.

📋 Requirements

• 5+ years in Solutions Architect or similar cloud/AI/ML role.
• Strong expertise in GPU computing (CUDA/OpenCL) and ML workloads.
• Hands-on experience with Terraform and 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 model across Europe
• 📈 Career development and continuous learning
• 🔬 Exposure to cutting-edge AI and GPU cloud technologies
• 🌍 Collaborative, international, innovation-driven culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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