At a Glance
- Tasks: Architect large-scale AI infrastructure and design GPU cluster architecture from scratch.
- Company: Venture-backed investment firm with a focus on cutting-edge technology.
- Benefits: Competitive salary, performance bonuses, and immediate project impact.
- Other info: Join a fast-paced environment with significant growth opportunities.
- Why this job: Shape the future of AI infrastructure and make high-stakes decisions that matter.
- Qualifications: 7+ years in infrastructure architecture with GPU or HPC cluster experience.
The predicted salary is between 100 - 100 £ per hour.
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 (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.
- 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.
- 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
Technical Solutions Architect – Investors employer: Hamilton Barnes Associates Limited
Hamilton Barnes Associates Limited is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a focus on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in cutting-edge areas like network automation and cloud technologies. Our competitive salary package and commitment to solving complex engineering challenges make us an attractive choice for talented individuals seeking meaningful and rewarding careers.
Contact Details:
Hamilton Barnes Associates Limited Recruitment Team
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