TL;DR
Principal Solutions Architect (AI): Define and lead complex AI infrastructure engagements focusing on GPU cluster architecture, networking, storage, and hyperscale integrations. With an accent on scalable, high-performance AI infrastructure design and strategic customer influence. Focus on designing multi-cluster GPU deployments, backend and frontend networking, and shaping platform roadmaps aligned with AI model growth.
Location: Seattle, United States
Company
Nscale delivers high-performance GPU infrastructure optimized for frontier AI workloads, partnering with AI-native companies and hyperscalers.
What you will do
- Lead architecture engagements with top-tier AI labs, enterprises, and hyperscalers.
- Design multi-rack and multi-cluster GPU deployments and backend networking fabrics optimized for AI.
- Define frontend networking models for secure, high-bandwidth connectivity and design storage architectures for AI workloads.
- Act as technical authority in hyperscaler engagements and influence joint reference architectures.
- Provide feedback into infrastructure roadmap and define architectural standards and reusable blueprints.
- Support executive-level technical discussions and contribute to deal strategy.
Requirements
- Location: Seattle, United States
- 10+ years in infrastructure architecture, HPC, AI platforms, or hyperscale environments.
- Deep expertise in GPU-based cluster design and backend networking (InfiniBand, RoCE, Ethernet fabrics).
- Strong understanding of frontend networking, storage systems for AI workloads, and executive stakeholder engagement.