About this role
Design and deploy scalable GPU cloud solutions and high-performance clusters tailored to customer AI workloads. Act as a technical advisor to translate customer requirements into architectural designs, deployment plans, and integration strategies.
Requires a degree in Computer Engineering or IT with at least 7 years of experience in solution architecture or systems engineering. Must possess deep expertise in GPU compute, high-performance networking (InfiniBand, RoCE), and Linux-based orchestration tools.
What they're looking for
GPU InfrastructureCloud ArchitectureNetworkingInfiniBandRoCELinuxContainersOrchestration Tools
Frequently asked questions
What does a Solutions Architect (AI GPU Infrastructure / Data Centre Architecture) at Nscale do?
Design and deploy scalable GPU cloud solutions and high-performance clusters tailored to customer AI workloads. Act as a technical advisor to translate customer requirements into architectural designs, deployment plans, and integration strategies. Requires a degree in Computer Engineering or IT with…
What skills does this Solutions Architect (AI GPU Infrastructure / Data Centre Architecture) role need?
Key skills for this role include GPU Infrastructure, Cloud Architecture, Networking, InfiniBand, RoCE, Linux.
How much does a Solutions Architect (AI GPU Infrastructure / Data Centre Architecture) at Nscale pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Solutions Architect (AI GPU Infrastructure / Data Centre Architecture) role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Solutions Architect (AI GPU Infrastructure / Data Centre Architecture) role?
You can apply directly on Nscale's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.