---
title: 'Solution Architect - GPU & HPC at NexGen Cloud'
canonical: 'https://feeny.ai/job/solution-architect-gpu-hpc-nexgen-cloud-london-england-united-kingdom-j6f48xvwystp'
type: 'job'
last_seen: '2026-09-10'
---

# Solution Architect - GPU & HPC at NexGen Cloud

- **Company:** NexGen Cloud
- **Location:** London England United Kingdom, United Kingdom
- **Work type:** remote
- **Posted:** 2026-07-21
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.eu.greenhouse.io/nexgencloud/jobs/4933382101

## Job description

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 engaging with customers, vendors, and internal engineering teams as a technical authority — able to translate complex software and performance trade-offs into clear, actionable decisions.

## Nice to Have

- Experience with large-scale cluster performance benchmarking — NCCL tests, MLPerf, or equivalent — and familiarity with what good looks like across different GPU generations and topologies.
- Exposure to MLOps tooling and AI platform layers: experiment tracking (MLflow, W&B), model serving frameworks (Triton, vLLM), and pipeline orchestration (Kubeflow, Airflow).
- Familiarity with InfiniBand and high-performance networking as it relates to distributed training performance — sufficient to engage credibly with network and infrastructure teams on topology and tuning decisions.
- Commercial awareness: experience contributing to BoMs, technical proposals, or RFP responses in a pre-sales or customer-facing technical role.

## WHAT WE OFFER

- Competitive salary and annual discretionary bonus scheme.
- Employee wellbeing benefits.
- 25 days of holiday, plus public holidays.
- Flexible working arrangements, with regular customer-site travel as part of the role.
- Real ownership and autonomy — you’ll have direct influence over the technical win rate on some of our most strategically important opportunities.
- The chance to work at the cutting edge of GPU cloud infrastructure, with a platform purpose-built for AI, ML and HPC workloads.
- Clear career progression and growth opportunities in a fast-growing company.
- A collaborative, international culture built on trust, transparency, and ownership.
- The opportunity to shape how NexGen Cloud is positioned and perceived in a competitive and fast-moving market.

## MORE INFORMATION

Head over to our [NexGen Cloud careers page](https://www.nexgencloud.com/careers?utm_medium=organic&utm_source=google) to view current openings and follow us on [LinkedIn](https://www.linkedin.com/company/nexgen-cloud) and [X](https://x.com/CloudNexgen) to learn more about our journey, newest releases and exciting news from the neocloud space.

## About NexGen Cloud

## Company Overview
- **One-liner**: NexGen Cloud is a UK-based full-stack AI cloud platform that provides sustainable, high-performance GPU infrastructure and cloud services for AI enterprises and practitioners.
- **Entity Type**: Private (funding stage not publicly disclosed; operates as a venture-backed growth company)
- **Headquarters**: London, United Kingdom (with additional office in Marbella, Spain)
- **Founded**: 2020
- **Founders**: Chris Starkey (CEO & Co-Founder), Youlian Tzanev (CSO & Co-Founder)

## Core Business
- **Primary industry**: AI Cloud Infrastructure / GPU-as-a-Service (GPUaaS)
- **Target customers**: B2B – AI enterprises, research labs, startups, and government entities needing scalable, sovereign AI compute (e.g., model training, inference)
- **Mission / Purpose**: To provide sustainable, sovereign, and accessible AI cloud solutions that enable innovation while maintaining data privacy and environmental responsibility.

## Products & Services
- **Hyperstack**: A self-serve GPU-as-a-Service platform offering instant, on-demand access to NVIDIA GPUs, one-click Kubernetes deployments, and pay-as-you-go pricing (SaaS / IaaS).
- **Secure Private Cloud**: Single-tenant, fully customised high-performance computing environments with state-of-the-art NVIDIA hardware (e.g., HGX B300, GB300 NVL72) and managed Kubernetes for enterprise workloads (IaaS / Managed Service).
- **InfraHub Compute**: A hardware sourcing, financing, and deployment service that builds the physical compute stack (NVIDIA GPUs, AMD processors, Supermicro platforms) for enterprise AI infrastructure (Hardware + Service).
- **Hybrid Cloud Integration**: Migration support and integration with external hybrid/multi-cloud environments for seamless workload portability (Service).

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Not publicly available (private company; no revenue or funding figures in disclosed materials)
- **Notable Investors / Partners**: NVIDIA Cloud Partner (active collaboration on Secure Private Cloud deployments)
- **Growth Signals**:
  - Data centre deployments across Europe (Norway, Sweden), Canada, and the US (multiple sites in Norway, Canada, and a US presence)
  - SOC 2 Type 1 certified (audited by a licensed CPA firm)
  - Actively hiring across multiple roles (10+ open positions as of July 2026)
  - Expanding product suite with InfraHub Compute and hybrid cloud offerings

## Competitive Advantages
- **EU Sovereignty & Data Protection**: Infrastructure located in Europe and Canada, ensuring compliance with EU data regulations (“non-compliant with US regulations”)
- **Sustainability**: Majority of owned infrastructure hosted in data centres powered by 100% renewable energy
- **Full-Stack Expertise**: Controls the entire stack from hardware sourcing (InfraHub) to managed private cloud and self-serve GPUaaS, enabling customisation and cost optimisation
- **NVIDIA Partnership**: Direct access to cutting-edge NVIDIA hardware and engineering support for large-scale AI deployments
- **Enterprise-Grade Security**: SOC 2 Type 1 certification and enterprise-grade data protection controls

## Strategic Focus
- **Scaling sovereign AI infrastructure** across Europe and North America
- **Deepening the NVIDIA partnership** to deploy next-generation GPU clusters (e.g., NVIDIA GB300 NVL72 with liquid cooling)
- **Expanding the Hyperstack self-serve platform** to attract a broader developer and startup audience
- **Growing the Secure Private Cloud business** for large enterprises and government institutions

## Why Work Here
- **Culture**: Fast-paced, innovation-driven environment with an “open-door” policy; emphasis on collaboration, creativity, and taking initiative. The company describes itself as a “vibrant community driving a cloud revolution.”
- **Work Model**: Hybrid/remote depending on the role; offices in London and Marbella, with remote positions available
- **Onboarding**: Structured programme with an onboarding buddy, hands-on training, and intro sessions with HR and key team members
- **Professional Development**: Regular performance evaluations that identify strengths and growth areas; support for career advancement
- **Perks**: Not explicitly listed, but the culture page highlights a people-first approach, team celebrations, and a commitment to employee empowerment
- **Teams**: Engineering (HPC, MLOps, Software), Sales, RevOps, Finance, HR/Talent, Administration – high-growth org with diverse functions

## Sources
1. [nexgencloud.com - About](https://www.nexgencloud.com/about)
2. [nexgencloud.com - Home](https://www.nexgencloud.com/)
3. [nexgencloud.com - Careers](https://www.nexgencloud.com/careers)
4. [LinkedIn - NexGen Cloud](https://uk.linkedin.com/company/nexgencloud)
5. [CB Insights - NexGen Cloud](https://www.cbinsights.com/company/nexgen-cloud)

## Other roles at NexGen Cloud

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- [Network Deployment Engineer](https://feeny.ai/job/network-deployment-engineer-nexgen-cloud-london-w81ds406v2c0) — London, United Kingdom
- [Supply Chain Manager](https://feeny.ai/job/supply-chain-manager-nexgen-cloud-united-kingdom-tdz0a8a2v6j4) — United Kingdom
- [Senior Infrastructure Engineer](https://feeny.ai/job/senior-infrastructure-engineer-nexgen-cloud-quebec-txqk957x1eqd) — Quebec, Canada
- [FP&A Manager](https://feeny.ai/job/fp-a-manager-nexgen-cloud-london-3v93m3bvyrs6) — London, United Kingdom
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