Oscar
Platform Architect

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Platform Architect - Nvidia AI/GB300
£700-765p/day (Outside IR35) | 6+ months | Mainly Remote | London occasionally | focused on building and scaling NVIDIA AI Factory infrastructure
We’re looking for an experienced Platform Architect to join a major AI infrastructure programme. The key focus is on NVIDIA HGX GB300 / NVL72 and RTX 6000 series servers, so proven experience designing and deploying NVIDIA GPU infrastructure is essential.
You’ll translate complex technical requirements into HLDs, LLDs, and platform architecture, working across infrastructure, networking, storage, security, applications, and data-centre teams.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Requirements
- Strong Platform / Infrastructure Architecture experience across compute, storage, networking, and Linux.
- Expert-level Kubernetes architecture experience.
- Strong Slurm and Run experience – essential.
- Proven experience with GPU/HPC environments and large-scale AI platforms.
- Hands-on experience with NVIDIA HGX GB300 / NVL72, including NVLink, NVSwitch, and Grace Blackwell architecture.
- Experience with NVIDIA RTX 6000 series GPU servers.
- Strong understanding of GPU workload scheduling, partitioning, and sharing, including MIG, vGPU, and time-slicing.
- Strong understanding of InfiniBand, RoCE, Spectrum-X, GPUDirect RDMA/Storage, and high-performance AI fabrics.
- Experience with Terraform, Ansible, Python/shell, Git, and CI/CD.


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Highly Desirable
- Experience with NVIDIA AI Factory / GB300 OR GB200 reference architectures.
- Understanding of rack-scale liquid cooling, 100kW+ rack power densities, CDUs, and data centre infrastructure.
- Experience working with colocation/facilities teams on high density GPU deployments.
- Knowledge of DGX BasePOD / SuperPOD architectures.
If this sounds like a good fit, apply now!
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