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 senior technical leadership role is responsible for shaping solution strategy across GPU cluster architecture, backend high‑performance fabrics, frontend connectivity and peering, storage and data architectures, and 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 trade‑offs. 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 trade‑offs for customers. 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. The range below reflects the base salary for the position. Actual compensation may vary based on job‑related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation. Salary Range: $170,000 USD – $250,000 USD For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here. #J-18808-Ljbffr Nscale