Technical Solutions Architect – Investors

A venture-backed investment firm is standing up a substantial GPU compute capability, having just confirmed a large-scale order of next-generation B300 GPUs. This is a rare opportunity to architect large-scale AI infrastructure from the ground up, owning cluster specification and costing for a major hardware deployment rather than inheriting someone else's design decisions.

Own the technical architecture behind a landmark GPU deployment, shaping cluster topology, networking, and power/cooling decisions that will underpin the firm's compute strategy for years to come.

Join a fast-moving investment platform with capital already committed and hardware secured, giving this role immediate, tangible scope rather than a speculative roadmap.

Work closely with senior stakeholders in a lean, high-trust environment where your technical judgement directly shapes commercial decisions worth millions.

If you are interested and want to find out more, get in touch and apply today!

Responsibilities

• Specify and design GPU cluster architecture for a large-scale B300 deployment, covering compute, networking, storage and interconnect
• Produce detailed costing models for cluster builds, including hardware, data centre, power and ongoing operational expenditure
• Evaluate and recommend data centre/colocation partners capable of supporting high-density GPU racks
• Define networking topology (InfiniBand/Ethernet fabric) to optimise for distributed training and inference workloads
• Liaise with hardware vendors, OEMs and data centre providers to validate specifications and negotiate technical terms
• Produce technical documentation and board-level summaries translating complex infrastructure decisions into commercial terms
• Advise on power, cooling, and rack density requirements specific to next-generation GPU deployments

Skills/Must have

• Experience: 7+ years in infrastructure/solutions architecture, with direct experience specifying GPU or HPC clusters at scale
• Core Tech/Domain: Deep hands-on knowledge of GPU hardware (NVIDIA H100/H200/B200/B300 class systems), server/rack design, and data centre infrastructure
• Methodology/Protocols: Strong grasp of InfiniBand/RDMA networking, NVLink/NVSwitch topologies, and cluster interconnect design for distributed compute workloads
• Soft Skills: Confident operating at boardroom level, able to translate deep technical detail into commercial costing narratives; comfortable owning ambiguous, high-stakes decisions with minimal oversight

Nice to haves

• Experience with liquid cooling/high-density rack deployments
• Prior work with hyperscalers, neo-clouds, or GPU-as-a-service providers
• Familiarity with NVIDIA reference architectures (e.g. DGX SuperPOD)
• Vendor relationships with NVIDIA, Dell, Supermicro, or major colocation providers

Salary

• £110,000-£150,000 base (DOE) + performance bonus