Solutions Engineer
Nscale is a London-based, full-stack AI cloud and infrastructure company that provides GPU compute, managed AI services, orchestration software, data centers, and power infrastructure for AI training, fine-tuning, and inference.
Funding history
About Nscale
Nscale builds and operates vertically integrated AI infrastructure spanning software, GPU compute, networking, storage, purpose-built data centers, and power. Its active cloud platform offers self-service inference endpoints, fine-tuning, managed Kubernetes and Slurm, virtual machines, and GPU clusters.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will support the sales cycle by qualifying technical requirements, delivering demonstrations and workshops, and designing AI infrastructure solutions. You will help customers evaluate workloads, validate solutions, and onboard successfully while providing feedback to product, engineering, and operations stakeholders.
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 center, or platform environments.
- Understanding of cloud infrastructure, GPU compute, AI and ML workloads, or high-performance infrastructure.
- Familiarity with containers, Kubernetes, Slurm, orchestration platforms, or workload deployment models.
- Understanding of networking, storage, and distributed compute.
- Strong technical presentation, collaboration, commercial awareness, and writing skills.
Responsibilities
- Qualify customer opportunities and identify technical requirements.
- Deliver product demonstrations, technical presentations, workshops, and architecture sessions.
- Translate customer AI, HPC, and infrastructure requirements into solution designs.
- Develop solution proposals aligned with customer business outcomes.
- Support proof of concepts, evaluations, onboarding projects, and technical validation.
- Provide guidance on compute, networking, storage, orchestration, and workload optimization.
- Create repeatable demo environments, technical playbooks, reference architectures, and sales enablement materials.
- Surface customer feedback, product gaps, and technical objections.
- Support RFQ, BOM, and technical proposal development.