Senior Solution Engineer – GPU & AI Infrastructure

• Join Civo, a high-performance neocloud provider built for AI, HPC, and cloud-native workloads, in a UK-based remote role. • Act as the primary technical architect for Civo’s large-scale AI and high-performance computing customer initiatives. • Design state-of-the-art NVIDIA GPU clusters for training and inferencing massive foundation models. • Bridge customer business objectives and ultra-high-performance hardware execution. • Translate complex AI workload requirements into production-ready HLDs, LLDs, and detailed Bills of Materials. • Work across bare-metal and Kubernetes orchestration on NVIDIA Blackwell architectures with InfiniBand and RoCE fabrics. • Work a four-day week with uncapped holiday, remotely and with real autonomy.

• Bring 5+ years in solution architecture, systems engineering, or technical pre-sales focused on high-performance cloud, HPC, or AI infrastructure. • Hold a bachelor’s degree in computer science, electrical engineering, systems engineering, or bring equivalent practical experience. • Bring deep hands-on knowledge of NVIDIA HGX/DGX platforms, NVLink/NVSwitch fabrics, and Blackwell architectures. • Bring expert-level knowledge of InfiniBand, including Quantum-2 and Quantum-X800, subnet management, and adaptive routing. • Configure and optimise RoCE and RoCEv2 on Spectrum-X and Spectrum-4 Ethernet switches, including PFC and ECN. • Work confidently with GPUDirect RDMA and GPUDirect Storage. • Deploy and optimise GPU workloads on Kubernetes, including CNI, the NVIDIA GPU Operator, RDMA Shared Device Plugin, and MPI Operator. • Work on bare metal with Slurm, Ansible, Terraform, and PyTorch/NCCL environment tuning. • Create enterprise-grade HLDs, LLDs, network rack diagrams, and itemised BOMs. • Bring familiarity with high-density datacenter environments, liquid cooling, and power delivery for 100kW+ racks. • Lead technically and present complex hardware and network trade-offs to executive stakeholders. • Diagnose complex hardware-software bottlenecks in distributed training and inference setups. • Be based in the UK.

• Hold the NVIDIA Certified Professional: AI Infrastructure (NCP-AII) certification. • Hold the NVIDIA Certified Professional: AI Networking (NCP-AIN) certification. • Hold the NVIDIA Certified Professional: InfiniBand (NCP-IB) certification. • Hold an NVIDIA Certified Associate or Professional certification in AI Workload Deployment and Cloud Native.

• Author comprehensive HLD and LLD documentation for enterprise-scale GPU supercomputing clusters. • Generate detailed BOMs covering compute nodes, NVLink switches, fabrics, cabling, cooling, power, and storage. • Architect scale-up NVLink/NVSwitch and scale-out Fat-Tree and Rail-Optimized topologies for NVIDIA Blackwell platforms. • Design high-throughput, low-latency networking using InfiniBand and RoCE with lossless Ethernet mechanisms. • Deliver tailored architectures for bare-metal and Kubernetes environments. • Architect high-bandwidth parallel storage using GPUDirect Storage and enterprise AI file systems such as VAST Data. • Act as technical lead on high-value AI infrastructure opportunities alongside sales and commercial teams. • Engage with customer CTOs, Chief AI Officers, infrastructure leads, and ML engineers on requirements and sizing. • Lead architectural workshops and produce technical proposals and responses to complex RFPs and RFIs. • Architect and oversee proof-of-concept deployments to validate real-world customer performance. • Benchmark clusters using NCCL tests, GPUDirect RDMA measurements, MLPerf, and Megatron-LM. • Feed market trends and platform demands back to Civo’s product and platform engineering teams.

• Receive a competitive compensation and benefits package. • Work a four-day week, except when attending an event. • Take uncapped holiday. • Work remotely with flexibility and autonomy. • Join a collaborative, inclusive culture that values diversity and creativity. • Work with cutting-edge NVIDIA GPU clusters in the fast-growing cloud industry.

Civo is a high-performance neocloud provider purpose-built for modern AI, high-performance computing, and cloud-native infrastructure. It strips out legacy cloud overhead to deliver ultra-low-latency compute, bare-metal GPU performance, and streamlined Kubernetes orchestration at scale. Designed for AI engineering teams, enterprises, and research institutions, Civo gives direct access to NVIDIA GPU clusters, high-speed fabrics, and parallel storage with predictable pricing.