Solutions Architect AI GPU Infrastructure Data Centre Architecture
Nscale is a London-based, full-stack AI cloud and infrastructure company that provides GPU compute, managed AI services, orchestration software, data centers, and power infrastructure for AI training, fine-tuning, and inference.
Maintainer signals as of 9/23/2026
Funding history
About Nscale
Nscale builds and operates vertically integrated AI infrastructure spanning software, GPU compute, networking, storage, purpose-built data centers, and power. Its active cloud platform offers self-service inference endpoints, fine-tuning, managed Kubernetes and Slurm, virtual machines, and GPU clusters.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will work with customers and internal stakeholders to turn technical requirements into scalable GPU cloud architectures, deployment plans, and integration strategies. You will support onboarding and proof-of-concept work, troubleshoot architecture issues, create technical documentation, and develop solution BOMs and RFQs.
Requirements
- Bachelor's or master's degree in Computer Engineering, Information Technology, or equivalent
- At least 7 years of experience in solution architecture, cloud architecture, systems engineering, or similar roles
- Understanding of GPU compute, HPC, AI or ML workloads, and high-performance infrastructure
- Experience with L2/L3 networking, InfiniBand, RoCE, storage systems, and distributed compute patterns
- Experience deploying data centre networking and connectivity
- Hands-on experience with Linux systems, containers, and orchestration tools
Responsibilities
- Understand customer AI workloads, technical requirements, and scaling needs
- Translate architectural designs into deployment plans
- Design GPU infrastructure solutions for capacity planning, cluster design, networking, and performance optimization
- Provide architectural oversight during GPU cluster deployments
- Support onboarding, proof-of-concept projects, and GPU cluster deployments
- Troubleshoot architecture-level challenges and recommend optimization practices
- Create solution diagrams, architecture documentation, and technical proposals
- Create BOMs and RFQs for customer solutions
- Serve as a subject matter expert on platform features, APIs, and capabilities