Solutions Architect (AI GPU Infrastructure / Data Centre Architecture)

Role description

Role Overview

We are seeking a Solution Architect to work directly with customers, Engineering, and our infrastructure teams to design scalable GPU cloud solutions. You’ll be a trusted technical advisor in translating customer requirements into architecture designs, deployment plans, and integration strategies using Nscale’s GPU platform.

What You Will Do

Work with customers to understand their AI workloads, technical requirements, and scaling needs; Collaborate with Engineering and Ops teams to translate high-level architectural designs into actionable deployment plans; Design tailored GPU infrastructure solutions in capacity planning, cluster design, networking, and performance optimization.

Why It Might Be a Fit

Strong understanding of GPU compute, HPS, AI/ML workloads, and high-performance infrastructure; Strong experience in networking (L2/L3, InfiniBand, RoCE), storage systems, and distributed compute patterns; Ability to translate customer needs into clear, scalable technical solutions.

Requirements

• Masters/Bachelor Degree in Computer Engineering, Information Technology or equivalent
• At least 7 years of experience in Solution architecture, cloud architecture, systems engineering, or similar roles
• Strong understanding of GPU compute, HPS, AI/ML workloads, and high-performance infrastructure
• Strong experience in networking (L2/L3, InfiniBand, RoCE), storage systems, and distributed compute patterns
• Ability to translate customer needs into clear, scalable technical solutions
• Strong communication skills and able to conduct presentation to technical and non-technical audiences
• Ability to work cross-functionally with Engineering, operations, product, and customer teams
• Hands-on experience with Linux systems, containers, orchestration tools

Benefits

• Relentless Innovation
• Ownership and Accountability
• Openness and Transparency
• Customer-Centric Focus
• Sustainability
• Full-Speed Collaboration