Radley James
Graphics Processing Unit (GPU) Engineer

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Graphics Processing Unit (GPU) Engineer
Founding GPU Infrastructure Engineer London | Competitive Salary + Equity
About the Company We're building open AI infrastructure that enables governments and enterprises to deploy secure, sovereign AI platforms powered by open-weight foundation models.
Join the founding London team building one of the world's largest GPU compute platforms, supporting 20,000–40,000 GPUs across AWS, Google Cloud, and other providers.
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.
Start with a chat, not a search bar
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.
See breakdownIt searches the market for you
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.
What We're Looking For: 10+ years in Platform Engineering, Infrastructure Engineering, or SRE. Experience managing large-scale infrastructure fleets and distributed Kubernetes clusters (ideally 1,000+ clusters). Deep Linux and systems engineering expertise. Experience with AWS, Google Cloud, and multi-cloud environments. Strong automation, monitoring, and observability skills.


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GPU or AI experience is not required—we're looking for experts in large-scale infrastructure and distributed systems.
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