HPC Cluster Architect

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NexGen Cloud

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

NexGen Cloud is a provider of large-scale, sovereign and sustainable AI cloud infrastructure and GPU-as-a-service. It offers the AI Supercloud and Hyperstack platforms with on-demand NVIDIA HGX/H100/GB200 GPUs, managed Kubernetes, custom hardware/software configurations, and consulting and R&D partnerships through NexGen Labs to support enterprise training of foundational models and GenAI workloads. The company focuses on scalable, hybrid and sovereign deployments in Europe and North America and provides POCs, onboarding, and ongoing support.

📋 Description

• Own end-to-end cluster architecture for large-scale NVIDIA GPU deployments — from customer requirement through rack layouts, BOM, power and cooling design, to production handover • Design high-performance network fabrics across compute (InfiniBand, RDMA, NVLink/NVSwitch), storage, and WAN — defining topology, oversubscription models, and scaling strategies • Engage directly with OEMs and vendors — validating hardware configurations, reviewing quotes, and ensuring designs are both technically sound and commercially optimised • Provide technical oversight during deployment and bring-up — supporting hardware validation, performance testing, and acting as escalation point for complex integration issues • Act as a senior technical leader across Solutions Architecture, Cloud Engineering, and data centre partners — contributing to standardised reference designs and building out the HPC engineering function

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive salary and annual discretionary bonus scheme • Employee wellbeing benefits • 25 days of holiday, plus public holidays • Flexible working arrangements (remote or hybrid, depending on role and location) • Real ownership and autonomy, with the trust to take initiative and experiment • The opportunity to make a visible, meaningful impact as we scale • Clear career progression and growth opportunities in a fast-growing company • A collaborative, international culture built on trust, transparency, and ownership • The chance to help shape NexGen Cloud's team, culture, and future alongside ambitious, mission-driven colleagues