Solutions Engineer

Houston;
New York;
San Francisco;
Seattle

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 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.

We are looking for a Principal Presales Engineer / Solutions Architect to join Nscale’s commercial organisation and play a key role in helping customers understand, evaluate, and adopt our AI infrastructure solutions.

This is a deeply technical, customer-facing role at the intersection of sales, solution design, and AI infrastructure. You will partner closely with account executives, product, engineering, and operations teams to support the full sales cycle, from discovery and technical qualification through solution design, product demonstrations, proof of concept support, and customer onboarding.

You will need to quickly become fluent in Nscale’s infrastructure, platform capabilities, and software orchestration stack so that you can confidently present our solutions, map customer requirements to technical architectures, and act as a trusted advisor throughout the buying journey.

This role is ideal for someone who combines strong technical credibility with commercial instinct, enjoys engaging directly with customers, and can translate complex GPU, AI, and cloud concepts into clear business value.

• Support the commercial team in qualifying customer opportunities and identifying technical requirements early in the sales process
• Deliver compelling product demos, technical presentations, workshops, and architecture sessions for prospective customers and partners
• Translate customer AI, HPC, and infrastructure requirements into clear solution designs using Nscale’s platform
• Develop and present solution proposals that align technical architecture with customer business outcomes
• Work closely with customers to understand workloads, deployment requirements, performance expectations, and scaling plans
• Build a strong working knowledge of Nscale’s infrastructure stack, GPU cloud platform, APIs, orchestration tooling, and deployment models
• Support proof of concepts, evaluations, onboarding projects, and technical validation activities
• Partner with product, engineering, and operations teams to ensure proposed solutions are realistic, scalable, and aligned with platform standards
• Provide guidance on compute, networking, storage, orchestration, and workload optimisation for AI and machine learning use cases
• Help create repeatable demo environments, technical playbooks, reference architectures, and sales enablement materials
• Act as a technical voice in the commercial organisation, helping shape how Nscale positions its solutions in the market
• Surface customer feedback, product gaps, and recurring technical objections to internal stakeholders
• Support RFQ, BOM, and technical proposal development where required for larger or more complex opportunities

• Experience in presales engineering, solutions architecture, sales engineering, cloud architecture, or a similar customer-facing technical role
• Strong ability to present technical concepts clearly to both technical and non-technical audiences
• Experience supporting enterprise or mid-market sales cycles in infrastructure, cloud, AI, data centre, or platform environments
• Good understanding of cloud infrastructure, GPU compute, AI/ML workloads, or high-performance infrastructure
• Familiarity with containers, Kubernetes, Slurm, orchestration platforms, or workload deployment models
• Understanding of networking, storage, and distributed compute concepts in modern infrastructure environments
• Ability to quickly learn a complex…