Solutions Architect (GPU) UK, Norway, Netherlands, Poland (Remote)
About the Company We are a GPU cloud provider engineered specifically for AI workloads. Our platform delivers high-performance, cost-efficient infrastructure to both AI start-ups and large enterprises. By simplifying the challenges of modern AI development, we enable organizations to innovate rapidly while improving cost efficiency, technical capability, and sustainability.
Our culture is rooted in innovation, ownership, and accountability. Team members operate with urgency and excellence, building trust through transparency and open communication. By joining us, you’ll help build the infrastructure that powers the future of AI.
About the Role We’re seeking a Solutions Architect to collaborate closely with customers, engineering teams, and infrastructure groups to design scalable GPU cloud architectures. You’ll serve as a trusted technical advisor—translating customer needs into well-designed architectures, deployment plans, and integration strategies on our GPU platform.
This role blends technical depth with customer-facing problem solving. You’ll help organizations optimize AI workloads, design high-performance GPU clusters, and ensure smooth onboarding and long-term platform success.
What You’ll Do
Engage with customers to understand AI workloads, technical requirements, and scaling strategies
Architect custom GPU infrastructure solutions, including capacity planning, cluster design, networking, and performance optimization
Provide guidance across compute, networking, storage, and deployment best practices
Collaborate with engineering and operations teams to ensure solutions follow platform standards
Support onboarding, proof‑of‑concept initiatives, and GPU cluster deployments
Diagnose architecture‑level issues and recommend performance and cost improvements
Produce solution diagrams, architecture documentation, and technical proposals
Create and manage BOMs for customer solutions, including RFQs and pricing
Act as a subject matter expert on the platform’s features, APIs, and capabilities
What You Bring
4+ years in solutions architecture, cloud architecture, systems engineering, or similar fields
Strong understanding of GPU compute, HPC, AI/ML workloads, and high‑performance infrastructure
Knowledge of networking (L2/L3, InfiniBand, RoCE), storage architectures, and distributed compute patterns
Ability to translate requirements into scalable, practical technical designs
Excellent communication skills with both technical and non‑technical audiences
Ability to collaborate effectively across engineering, operations, product, and customer teams
Hands‑on experience with Linux systems, containers, orchestration tools, or ML frameworks
Nice to Have
Experience with GPU cluster management, high‑density compute environments, Kubernetes, Terraform, observability tooling, or AI performance profiling
Why Join As a Solutions Architect, you’ll help define how leading organizations build and scale world‑class AI systems. You’ll support both cutting‑edge start‑ups and global enterprises in getting the most from high‑performance GPU infrastructure—while contributing to the best practices shaping the next generation of AI platforms.
Your work will directly influence the growth of our global footprint and empower the teams building tomorrow’s AI breakthroughs.
Seniority level Not Applicable
Employment type Full‑time
Job function
Consulting
Industries
Data Infrastructure and Analytics
IT System Data Services
IT Services and IT Consulting
#J-18808-Ljbffr