Europe Arbeitnow ·
full-timeSolution Architect - GPU & HPC
Nexgencloud · London
NexGen Cloud operates Hyperstack, a specialized provider of on-demand and private GPU infrastructure designed for compute-intensive workloads like AI research and enterprise-level high-performance computing. As a Solutions Architect, you will serve as the primary technical authority throughout the sales cycle, bridging the gap between customer requirements and infrastructure delivery. Your day-to-day responsibilities will involve engaging directly with clients to translate complex workload needs into detailed architecture designs, including network topology, storage configurations, and GPU resource allocation. You will collaborate with engineering teams to validate the feasibility of these designs, produce technical proposals and RFP responses, and maintain a library of reference architectures for AI/ML training and inference. This role requires a candidate with a strong background in HPC or AI infrastructure, specifically in areas such as workload profiling, distributed training frameworks, and GPU software environments like CUDA and NCCL. You should be comfortable operating at the intersection of technical design and commercial strategy, ensuring that proposed solutions are both technically sound and commercially viable while providing feedback to influence the company's product roadmap.
Solutions Architect Location: UK-based — Customer-Site Travel Required ABOUT NEXGEN CLOUD NexGen Cloud is the company behind Hyperstack, a full-stack AI cloud serving tens of thousands of customers from AI researchers to enterprises running the world’s most compute-intensive workloads. We deliver on-demand and private GPU infrastructure to teams who treat performance as a requirement, not a feature. We’re a tight-knit, fast-moving team working at the cutting edge of AI cloud infrastructure. We practise what we preach, equipping our people with AI at every level so we can solve harder problems, ship faster, and keep raising the bar for what enterprise GPU infrastructure looks like. THE ROLE: Solutions Architect This role exists because our pipeline of technically complex, high-value GPU cloud opportunities is growing — and winning them requires more than a great sales team. The Solutions Architect sits at the intersection of sales, infrastructure, and the customer, translating complex workload requirements into technically sound, commercially viable solutions on the Hyperstack platform. You’ll be the primary technical authority through the sales cycle: engaging directly with prospective and existing customers, producing detailed solution designs, and ensuring that what is proposed can actually be delivered to the standard committed. This is a role for someone who is equally comfortable in a customer meeting and a technical design review — someone who earns trust through depth, not slides. WHAT YOU’LL BE DOING Rather than a long checklist, here’s what success in this role looks like: Own the technical sales cycle end-to-end — from initial customer brief through architecture design, proposal, and delivery handover — acting as the primary technical authority for GPU cloud solution design. Engage directly with prospective and existing customers to understand workload requirements, technical constraints, and commercial objectives, producing detailed solution designs including architecture diagrams, network topology, storage configurations, and GPU resource allocation models. Collaborate closely with Pre-Sales Engineering, Data Centre, Infrastructure, and Network Engineering teams to validate delivery feasibility before commitments are made to customers. Build and maintain a library of reference architectures and solution templates spanning AI/ML training, inference, HPC, and rendering workloads — accelerating the sales cycle and improving proposal consistency across the team. Develop high-quality technical proposals, RFP responses, and statements of work, supporting commercial discussions with clear scoping, realistic estimates, and honest risk assessments. Define and maintain comprehensive Bills of Materials (BoMs) for all proposed solutions, ensuring accuracy for procurement, provisioning, and margin review. Feed back recurring customer requirements and competitive intelligence to engineering leadership, directly influencing the Hyperstack product roadmap. ABOUT YOU We’re more interested in how you think and work than in a perfect CV. You’ll likely come from an HPC, AI infrastructure, or high-performance cloud background and bring a combination of the following: Essential Proven experience in HPC or AI software stack design and delivery at scale — including workload profiling, scheduler configuration (SLURM, PBS, or equivalent), MPI/NCCL tuning, and distributed training frameworks such as PyTorch, JAX, or DeepSpeed. Deep understanding of GPU software environments: CUDA, cuDNN, NCCL, driver stacks, and the tooling required to run large-scale AI training and inference workloads reliably in production. Hands-on experience optimising AI and HPC workloads across multi-GPU and multi-node configurations — including profiling, bottleneck identification, and performance tuning at both the application and infrastructure layer. Strong working knowledge of containerisation and orchestration in HPC/AI contexts: Docker, Kubernetes, NVIDIA GPU Operator, and container-native workload management. Background in an OEM, hyperscaler, neo-cloud, or enterprise/research HPC environment, with demonstrable exposure to the full design-to-deployment lifecycle for GPU-accelerated workloads. Ability to produce clear, professional technical documentation and architecture diagrams suitable for both engineering and board-level audiences. Confident e
| Role | Solution Architect - GPU & HPC |
|---|---|
| Company | Nexgencloud |
| Location | London |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
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