Senior Solution Engineer - GPU and AI Infrastructure

Referment is working with a cloud infrastructure provider that supports enterprise AI, high-performance computing and cloud-native workloads. The business is looking for a senior technical specialist to shape large-scale GPU platforms for customers across the UK. This is a customer-facing architecture role spanning discovery, technical design and pre-sales. You will translate demanding AI and HPC workloads into production-ready infrastructure, working with customer technology leaders, commercial colleagues, platform engineers and hardware partners. The remit combines deep hands-on knowledge of GPU systems with the ability to explain complex trade-offs clearly. The Role

• Design enterprise GPU clusters and produce clear high-level and low-level designs, rack and network diagrams, and detailed bills of materials.
• Shape scale-up and scale-out architectures across NVIDIA GPU platforms, NVLink and NVSwitch, high-speed InfiniBand and RoCE fabrics, storage, power and cooling.
• Translate customer workload, performance and commercial requirements into practical bare-metal, Slurm or Kubernetes-based solutions.
• Lead technical discovery sessions, architecture workshops and executive presentations, and contribute to complex proposals and RFP responses.
• Plan and oversee proofs of concept, using appropriate benchmarking to validate throughput, latency and distributed training performance.
• Work closely with enterprise customers, hardware vendors and internal engineering teams, feeding technical insight back into the platform roadmap. What We're Looking For
• At least five years in solution architecture, systems engineering or technical pre-sales focused on HPC, AI infrastructure or high-performance cloud platforms.
• Deep knowledge of NVIDIA HGX or DGX systems, GPU interconnects and modern rack-scale GPU architectures.
• Strong experience designing InfiniBand and/or RoCE networks, including congestion management and GPU-direct technologies.
• Practical understanding of GPU workload orchestration through Kubernetes and associated NVIDIA operators, or bare-metal environments using technologies such as Slurm, Ansible and Terraform.
• A track record of producing robust HLDs, LLDs, network diagrams and itemised infrastructure designs.
• Confident communication with CTOs, infrastructure leaders and ML engineers, with the judgement to explain hardware, networking and cost trade-offs.
• Awareness of high-density data-centre power, cooling and storage considerations. Relevant Desirable Experience NVIDIA AI infrastructure, networking or InfiniBand certifications would be useful, as would experience with performance testing for distributed AI workloads. A relevant degree is welcome, although equivalent practical experience is equally valuable. This could suit a Senior Solutions Architect, HPC Systems Engineer or technical pre-sales specialist who has designed GPU clusters and wants to remain close to both customers and engineering. You must be based in the UK.