Senior Solutions Engineer

Senior Solutions Engineer – GPU &amp; AI Infrastructure<br />Location: Remote / Hybrid<br />Contract: Part-Time initially with potential to move to Full-Time<br />Rate: £1,000–£1,200 per day<br />Start: Immediate<br />Sector: AI / GPU / HPC / Data Centre Infrastructure We’re looking for a Senior Solutions Engineer with a strong background in GPU, AI or HPC infrastructure to join an exciting and rapidly growing technology business. This is a senior technical position where you’ll be responsible for taking complex customer requirements and turning them into practical, scalable infrastructure solutions. You’ll be working on some seriously advanced environments, designing large-scale NVIDIA GPU platforms, high-speed networking, storage and cloud infrastructure for AI and machine-learning workloads. The role would suit someone who enjoys being both hands-on technically and customer-facing, rather than someone who wants to sit purely on the engineering side. What You’ll Be Doing

• Designing large-scale GPU and AI infrastructure for enterprise customers.
• Developing technical architecture, system designs and infrastructure proposals.
• Creating detailed HLDs, LLDs and Bills of Materials.
• Designing GPU cluster architectures around NVIDIA platforms.
• Working with NVLink, NVSwitch, InfiniBand and RoCE.
• Designing high-performance networking and storage environments.
• Supporting both bare-metal and Kubernetes-based deployments.
• Working with technologies such as Slurm, Kubernetes, NVIDIA GPU Operator and NCCL.
• Supporting technical sales opportunities and major customer engagements.
• Running technical workshops with senior customer stakeholders.
• Supporting RFP/RFI responses and complex technical proposals.
• Helping design and validate Proof-of-Concept environments.
• Troubleshooting performance across GPU, networking and storage infrastructure.
• Working closely with engineering teams, customers and technology partners. What We’re Looking For You’ll ideally have 5+ years' experience within one or more of the following:
• Solution Architecture
• Technical Pre-Sales
• Systems Engineering
• HPC
• AI / Machine Learning Infrastructure
• GPU Infrastructure
• Data Centre Infrastructure You should have strong practical knowledge of NVIDIA GPU environments and understand how large GPU clusters are designed, connected and deployed. Experience with Blackwell, HGX, DGX, NVLink/NVSwitch, InfiniBand or RoCE would be highly advantageous. We’re also interested in people with experience across:
• Kubernetes
• Slurm
• NVIDIA GPU Operator
• NCCL
• RDMA / GPUDirect
• High-performance storage
• GPU cluster networking
• HLD / LLD production
• Technical pre-sales and customer-facing architecture Why This Role? This is an opportunity to work at the cutting edge of AI infrastructure, rather than traditional cloud or data centre projects. You’ll be working on high-performance GPU environments supporting AI, machine learning and HPC workloads, with exposure to some of the latest NVIDIA technologies and large-scale infrastructure deployments. £1,000–£1,200 per day<br />Immediate start<br />Remote / Hybrid<br />Part-time initially or full-time If you have the technical background and are available to start quickly, please send me your CV and I’ll give you a call to discuss it