Nscale is looking for a Senior Network Architect located in the United States to design scalable, production-ready GPU infrastructure tailored for AI applications. This role involves collaborating with AI-native companies and hyperscalers to create robust architectures that meet complex performance and reliability requirements. The ideal candidate has over 6 years of experience in infrastructure engineering, deep knowledge of GPU systems, and exceptional communication skills. Join Nscale and help build the future of AI infrastructure.
Qualifications
6–10+ years in solutions architecture, infrastructure engineering, or AI/HPC environments.
Strong knowledge of GPU-based systems and distributed training infrastructure.
Experience with backend networking (InfiniBand, RoCE, high-speed Ethernet).
Solid understanding of storage architectures for AI workloads.
Responsibilities
Engage AI-native startups to translate business and ML requirements into infrastructure specifications.
Architect end-to-end GPU cluster solutions including GPU selection, backend networking, and storage.
Work with hyperscale partners to align on hybrid deployments.
Partner with internal teams to ensure designs are executable.
Skills
Solutions architecture
Infrastructure engineering
Customer-facing communication skills
GPU-based systems knowledge
Distributed training infrastructure
Tools
InfiniBand
RoCE
CUDA
Job description
Nscale is looking for a Senior Network Architect located in the United States to design scalable, production-ready GPU infrastructure tailored for AI applications. This role involves collaborating with AI-native companies and hyperscalers to create robust architectures that meet complex performance and reliability requirements. The ideal candidate has over 6 years of experience in infrastructure engineering, deep knowledge of GPU systems, and exceptional communication skills. Join Nscale and help build the future of AI infrastructure.