Solution Architect - GPU & HPC

Nexgencloud; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Employee wellbeing benefits

25 days holiday

Flexible working with travel

Autonomy in technical wins

Work at AI/HPC frontier

Career progression

International collaborative culture

Shape NexGen Cloud positioning

Job summary

NexGen Cloud, a cutting-edge AI cloud provider, seeks a Solutions Architect to own the technical sales cycle for GPU cloud solutions. You’ll translate workload requirements into feasible designs and collaborate across pre-sales, data centre, and infrastructure teams.

The role combines architecture design with customer engagement, ensuring proposals are technically sound, deliverable, and aligned with commercial objectives. Travel to customer sites is part of the role.

Qualifications

• Proven experience in HPC or AI software stack design and delivery at scale.
• Deep understanding of GPU software environments and profiling for production workloads.
• Experience with multi-GPU/multi-node configurations and performance tuning.

Responsibilities

• Own the technical sales cycle end-to-end and act as the primary technical authority for GPU cloud solution design.
• Engage with customers to capture workload requirements and produce detailed solution designs and topology diagrams.
• Collaborate with engineering teams to validate delivery feasibility and build reference architectures.
• Develop technical proposals, BoMs, and statements of work with clear scoping and risk assessments.
• Feed customer requirements into product roadmap and improve proposal consistency.

Skills

HPC/AI software design

GPU performance tuning

CUDA/cuDNN/NVIDIA stacks

Containerisation & orchestration

Customer-facing technical authority

Architecture diagrams & docs

Workload profiling

Tools

Docker

Kubernetes

NVIDIA GPU Operator

SLURM/PBS/MPI

ML/DL frameworks

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 on 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.