Technical Solutions Architect – Investors
Listed on 2026-07-26
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IT/Tech
Systems Engineer, Hardware Engineer, Network Engineer
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.
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 (Infini Band/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
- 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 Infini Band/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
- 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
- £110,000-£150,000 base (DOE) + performance bonus
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