Solutions Engineer (AI Infrastructure)

Location: Houston, New York, San Francisco, or Seattle, United States

Salary: $140,000–$193,000 USD annual base salary, with potential bonus, equity, and/or commission.

Company

Nscale provides cost-effective, high-performance GPU cloud infrastructure and orchestration solutions for AI start-ups and enterprise customers.

What you will do

• Qualify customer opportunities, identify technical requirements, and support the full sales cycle.
• Deliver product demonstrations, technical presentations, workshops, and architecture sessions.
• Translate AI, HPC, and infrastructure workloads into solution designs using the GPU cloud platform.
• Support proof-of-concept projects, evaluations, technical validation, and customer onboarding.
• Advise on compute, networking, storage, orchestration, deployment models, and workload optimisation.
• Create reference architectures, technical playbooks, demo environments, proposals, and sales enablement materials while surfacing customer feedback and product gaps.

Requirements

• Experience in presales engineering, solutions architecture, sales engineering, cloud architecture, or a similar customer-facing technical role.
• Experience supporting enterprise or mid-market sales cycles in infrastructure, cloud, AI, data centre, or platform environments.
• Strong understanding of cloud infrastructure, GPU compute, AI/ML workloads, or high-performance infrastructure.
• Familiarity with containers, Kubernetes, Slurm, orchestration platforms, workload deployment models, networking, storage, and distributed compute.
• Ability to present complex technical concepts clearly and connect solution design to customer outcomes and deal progression.
• Strong written and cross-functional collaboration skills across sales, engineering, product, and operations.

Nice to have

• Terraform or related infrastructure automation tools.
• Experience delivering technical product demonstrations in presales or partner-facing environments.
• Experience supporting AI start-ups, research organisations, model builders, or enterprise AI teams.
• Knowledge of InfiniBand, RDMA, RoCE, APIs, developer platforms, or cloud-native applications.
• Experience with open-weight model training and inference.

Culture & Benefits

• Culture focused on innovation, ownership, accountability, openness, and transparency.
• Work with fast-growing AI companies and enterprise organisations on next-generation infrastructure.
• Medical, dental, and vision benefits may be available.
• Flexible paid time off, parental leave, and retirement plan participation may be available.
• Potential bonus, equity, and/or commission programs in addition to base salary.