Solutions Architect

Nscale is seeking a Solutions Architect to design scalable GPU cloud solutions for customers. This role involves translating customer requirements into architecture designs, deployment plans, and integration strategies using Nscale’s GPU platform. The architect will optimize AI workloads, design high-performance GPU clusters, and ensure smooth onboarding and long-term success, acting as a trusted technical advisor at the intersection of technical depth, customer engagement, and infrastructure expertise.

Must Have

• Strong understanding of GPU compute, HPS, AI/ML workloads, and high-performance infrastructure
• Knowledge of networking (L2/L3, InfiniBand, RoCE), storage systems, and distributed compute patterns
• Experience designing or supporting GPU infrastructure clusters
• Ability to translate customer needs into clear, scalable technical solutions
• Hands-on experience with Linux systems, containers, orchestration tools, or ML frameworks

Good to Have

• Experience with GPU cluster management
• Experience with high-density compute environments
• Experience with Kubernetes
• Experience with Terraform
• Experience with observability tools
• Experience with performance profiling for AI workloads

About Nscale

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.

About the Role

We’re seeking a Solution Architect to work directly with customers, engineering, and our infrastructure teams to design scalable GPU cloud solutions. You’ll be a trusted technical advisor—translating customer requirements into architecture designs, deployment plans, and integration strategies using Nscale’s GPU platform.

This role sits at the intersection of technical depth, customer engagement, and infrastructure expertise. You’ll help customers optimize their AI workloads, design high-performance GPU clusters, and ensure smooth onboarding and long-term success on Nscale.

What You'll Do

• Work with customers to understand their AI workloads, technical requirements, and scaling needs
• Design tailored GPU infrastructure solutions—capacity planning, cluster design, networking, and performance optimization
• Provide architectural guidance across compute, networking, storage, and deployment patterns
• Collaborate with engineering and ops teams to ensure customer solutions align with Nscale standards
• Support onboarding, proof-of-concept projects, and GPU cluster deployments
• Troubleshoot architecture-level challenges and recommend best practices for performance and cost optimization
• Create solution diagrams, architecture documentation, and technical proposals
• Own and create BOMs for customer solutions including RFQ process and pricing.
• Serve as a subject matter expert on Nscale’s platform, features, APIs, and capabilities

What You Bring

• 4+ years in solution architecture, cloud architecture, systems engineering, or similar roles
• Strong understanding of GPU compute, HPS, AI/ML workloads, and high-performance infrastructure
• Knowledge of networking (L2/L3, InfiniBand, RoCE), storage systems, and distributed compute patterns
• Experience designing or supporting GPU infrastructure clusters
• Ability to translate customer needs into clear, scalable technical solutions
• Strong communication skills and comfort presenting to technical and non-technical audiences
• Ability to work cross-functionally with engineering, operations, product, and customer teams
• Hands-on experience with Linux systems, containers, orchestration tools, or ML frameworks

Nice to Have:

• Experience with GPU cluster management, high-density compute environments, Kubernetes, Terraform, observability tools, or performance profiling for AI workloads.

Why Join Nscale

As a Solution Architect at Nscale, you’ll directly shape how customers build and scale world-class AI systems. You’ll help iconic startups and global enterprises get the most out of high-performance GPU infrastructure- and play a key role in defining best practices for the next generation of AI platforms.

You’ll play a key role in scaling next-generation GPU infrastructure and enabling the world’s most innovative AI teams. Your work will directly impact Nscale’s global footprint and the companies building tomorrow’s AI breakthroughs.

At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there’s anything we can do to accommodate your specific situation, please let us know.

The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.