> Markdown version of [/jobs/ext/2051372-senior-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/2051372-senior-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solutions Engineer - **Company:** LJB & Co - **Location:** London, UK - **Experience:** Expert - **Salary:** £260,000.0 - £312,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Cloud Computing, Computer Clusters, Data Centers, InfiniBand, Machine Learning, Performance Tuning, Remote Direct Memory Access, AI Infrastructure, High Performance Computing, Kubernetes, Bare Metal, Slurm, Hardware Infrastructure - **Published:** August 14, 2026 - **Apply:** https://www.totaljobs.com/job/senior-solutions-engineer/ljb-co-job107841498 ## About the Role 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., 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. ## Description 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., * 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. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [The Gashlycrumb Tinies of AI Networking You Must Know (or Languish!)](https://www.wearedevelopers.com/videos/2067-the-gashlycrumb-tinies-of-ai-networking-you-must-know-or-languish) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [AI Factories at Scale](https://www.wearedevelopers.com/videos/1139-ai-factories-at-scale) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)