At a Glance
- Tasks: Architect cutting-edge AI infrastructure and design large-scale GPU clusters.
- Company: Well-funded tech business focused on next-gen AI compute.
- Benefits: Competitive salary, bonuses, and excellent career growth opportunities.
- Other info: Direct exposure to senior leadership and significant technical ownership.
- Why this job: Shape a flagship AI environment and influence major investment decisions.
- Qualifications: Experience in GPU infrastructure design and strong knowledge of NVIDIA platforms.
The predicted salary is between 60000 - 84000 £ per year.
- Technical Solutions Architect – AI Infrastructure & GPU Platforms
- London | Hybrid | £150K Base + Bonus
Architect the next generation of AI infrastructure.
This role is for a well-funded, venture-backed technology business investing heavily in next-generation AI compute.
Having committed to a major NVIDIA GPU deployment, we're looking for a Technical Solutions Architect to lead the design of a large-scale, greenfield AI infrastructure platform.
This is a rare opportunity to shape a flagship AI environment from day one, owning key architectural decisions across GPU clusters, networking, storage, and data centre infrastructure.
- What you'll be doing
- Architect large-scale GPU clusters for AI training and inference.
- Design high-performance networking using Infini Band, RDMA, NVLink, and NVSwitch.
- Define compute, storage, and interconnect architecture.
- Develop hardware and infrastructure cost models.
- Evaluate colocation providers, power, cooling, and rack density requirements.
- Work closely with NVIDIA, OEMs, and infrastructure partners to validate solutions.
- Present technical recommendations to senior stakeholders and influence major investment decisions.
What we're looking for
- Experience designing GPU or HPC infrastructure at scale.
- Strong knowledge of NVIDIA GPU platforms and AI compute environments.
- Expertise in Infini Band, RDMA, NVLink, NVSwitch, and high-performance networking.
- Experience with enterprise data centre architecture.
- Background in hyperscalers, neo-clouds, or GPU-as-a-Service providers is highly desirable.
- Experience with NVIDIA DGX Super POD or high-density GPU deployments is a bonus.
- Own the architecture of a landmark greenfield AI infrastructure deployment.
- Work with the latest NVIDIA GPU technologies.
- Significant technical ownership and autonomy.
- Direct exposure to senior leadership and key strategic decisions.
- Highly competitive salary, bonus, and excellent long-term career opportunity.
If you're passionate about AI infrastructure, GPU platforms, and high-performance computing, I'd love to hear from you.
Apply directly or get in touch for a confidential conversation.
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