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Verda

Data Center Design Engineer

London
Posted about 16 hours ago
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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.

About The Role

As a Data Center Design Engineer, you'll own the design of our data center deployments end-to-end, from facility layout and infrastructure planning through to how compute is physically organized within the space. This is a broad, generalist design role spanning power, cooling, space planning, and rack/cluster layout. You'll translate business and technical requirements into designs our deployment and operations teams can build against, working closely with our deployment, hardware, and procurement teams, and directly with colocation providers and contractors, to make sure designs are technically sound, cost-effective, and buildable on realistic timelines.

You'll ramp into full ownership over your first few months. In the first month, you'll get up to speed on Verda's existing site designs (HAM01, NCL01, and others), our tooling, and our design standards, and shadow the deployment team on an active build. From there, you'll take ownership of a design task on a live or upcoming site with review from the deployment and hardware teams. By around the three-month mark, you'll independently own a design workstream end-to-end from requirements through to handoff for deployment.

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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?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

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Your 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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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.

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What You’ll Do

  • Design data center layouts covering power distribution, cooling strategy, space planning, and rack/row organization for GPU-dense deployments
  • Translate capacity and technical requirements: power density, cooling load, compute topology into concrete site designs
  • Produce design documentation: floor plans, single-line diagrams, capacity models, and BOM inputs for procurement
  • Partner with colocation providers and contractors to validate designs against site constraints (power availability, cooling infrastructure, structural limits)
  • Support the deployment team through build-out and commissioning, adjusting designs as real-world constraints surface
  • Help standardize design patterns and documentation across sites as Verda scales
  • Stay current on data center design trends, especially high-density GPU cooling and power delivery

What We’re Looking For

  • 3–5 years in data center design, engineering, or a closely related infrastructure role
  • Working knowledge across multiple domains of DC design: power, cooling, space/layout planning. Deep specialization in one is fine, but you're comfortable reasoning across all of them
  • Experience with colocation, hyperscale, or GPU-dense environments (strong plus)
  • Familiarity with relevant design and documentation tools (CAD, single-line diagram tools, capacity planning spreadsheets, and similar)
  • Comfortable working from incomplete requirements and making sound design tradeoffs
  • A strong technical communicator. You can explain design decisions to engineers and non-technical stakeholders alike
  • Pragmatic: you balance design rigor against deployment timelines and constraints
  • Self-directed and comfortable owning a design end-to-end
  • Genuinely interested in AI infrastructure and the operational realities of running GPU-dense environments

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Practicalities

  • We work 3–4 days from the office if you're based in one of our hubs (Helsinki, London), or fully remote with frequent travel to our hubs and sites.
  • Travel: Frequent travel to sites
  • Employment type: Permanent and full-time

What's Next

If this sounds like your next move, apply now.

Please submit your application through our Careers page. We don't accept applications sent by email.

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Skills

Data Center Design
Power Distribution
Cooling Strategy
Space Planning
Rack Layout
Technical Communication
Design Documentation
Colocation
Hyperscale Environments
Capacity Planning
Self-Directed
AI Infrastructure
Deployment Support
Design Patterns
GPU-Dense Environments

Location

London, England, United Kingdom

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