Principal Solutions Architect -AI Infrastructure Strategy
Location: AMER; Seattle
Department: AI Infrastructure
Principal Solutions Architect -AI Infrastructure Strategy
About Nscale
Nscale delivers high-performance GPU infrastructure designed for frontier AI workloads. We partner with AI-native companies and hyperscalers to build scalable, high-density clusters optimized for distributed training and inference.
Our infrastructure sits at the convergence of GPU supercomputing, advanced networking fabrics, and hyperscale connectivity.
The Role
We are hiring a Principal Solutions Architect to define and lead complex AI infrastructure engagements across strategic customers and hyperscale partners.
This is a senior technical leadership role responsible for shaping solution strategy across:
- GPU cluster architecture
- Backend high-performance fabrics
- Frontend connectivity and peering
- Storage and data architectures
- Hybrid cloud and hyperscale integrations
You will influence both customer design decisions and Nscale’s internal platform evolution.
What You’ll Do
Strategic Customer Engagement
- Lead architecture engagements with top-tier AI labs, enterprises, and hyperscalers.
- Advise customers on distributed training scaling strategies and infrastructure tradeoffs.
- Shape long-term infrastructure roadmaps aligned with AI model growth.
End-to-End Infrastructure Architecture
- Design multi-rack and multi-cluster GPU deployments.
- Architect backend networking fabrics optimized for AI collective communication.
- Define frontend networking models for secure, high-bandwidth customer connectivity.
- Design storage architectures optimized for training data throughput and checkpointing.
- Evaluate compute density, power constraints, and operational scalability.
Hyperscaler & Ecosystem Influence
- Act as Nscale’s technical authority in hyperscaler engagements.
- Align Nscale’s infrastructure models with cloud interconnect standards.
- Influence joint reference architectures and partnership designs.
Platform & Product Influence
- Provide structured feedback into Nscale’s infrastructure roadmap.
- Identify recurring architectural patterns and productize them.
- Define architectural standards and reusable blueprints.
- Partner with engineering to validate next-generation platform capabilities.
Commercial & Executive Alignment
- Support executive-level technical discussions.
- Contribute to complex deal strategy with technical authority.
- Help quantify performance and cost tradeoffs for customers.
What We’re Looking For
Required
- 10+ years in infrastructure architecture, HPC, AI platforms, or hyperscale environments.
- Deep expertise in GPU-based cluster design.
- Strong knowledge of backend networking (InfiniBand, RoCE, Ethernet fabrics).
- Strong understanding of frontend networking and connectivity models.
- Experience designing storage systems for AI workloads.
- Proven ability to engage executive-level technical stakeholders.
Preferred
- Experience working directly with hyperscalers or large AI labs.
- Experience influencing product or platform roadmaps.
- Strong systems-level thinking across compute, networking, and storage.
- Experience modeling capacity planning and large-scale AI deployments.
What Success Looks Like
- Nscale wins and delivers complex AI infrastructure deals.
- Architectural designs are scalable, performant, and aligned with operational realities.
- Hyperscalers view Nscale as a credible infrastructure partner.
- Customer engagements influence and improve Nscale’s platform strategy.
- You help define how Nscale architects AI infrastructure at scale.
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
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