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Verda is building a European AI infrastructure company and seeks a CPU Solutions Specialist to own CPU strategy across AMD, ARM and Intel. You will collect requirements from infra, platform, cloud, and storage teams, translate them into precise specifications, and feed vendor discussions.
You’ll lead technical conversations with engineers, vendors, and stakeholders, document the rationale behind recommendations, and collaborate with the Hardware Solutions Architect on vendor strategy and
At Verda, we're building a fully featured European AI cloud, covering everything needed to train, experiment with, and deploy AI models at scale.
We are a full-stack AI infrastructure company, meaning we design, operate, and optimize the compute powering modern AI workloads across training and inference. Our infrastructure runs on 100% renewable energy, helping build a more sustainable AI ecosystem.
Join Verda while it’s still being built - not once it’s finished.
CPU selection touches everything Verda builds (infra, platform, cloud, storage), and right now no one owns it full-time. As we scale our compute, we need someone on top of what CPUs exist, what's coming to market, and which parts fit which workloads, both for our internal teams and for what we offer customers.
We are looking for a CPU Solutions Specialist to be that person. This is an advisory and information-gathering role at its core: you'll gather and consolidate CPU requirements across our internal engineering teams, translate them into clear specifications, and feed those into our vendor discussions. You'll be the recognized internal authority on "what CPU, and why" (across AMD, ARM, and Intel) and you'll hold credible technical conversations with everyone from engineers to vendors to non-technical stakeholders. This is a fast-paced team with a lot of informal brainstorming, and the role is as wide as you make it. You'll work most closely with our Hardware Solutions Architect on vendor strategy and hardware selection.
This is a role you can shape, with direct access to hardware decision-making and leadership, and the chance to own a function end-to-end at a rapidly growing AI infrastructure company.