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.

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