Hiring nowAI data centre networks and facilities

AI Data Centre Power Engineer

Also called AI Data Centre Electrical Engineer

An AI Data Centre Power Engineer plans the electrical capacity and resilience of AI compute sites. They make sure GPU clusters get safe, reliable power at the scale the company needs, without wasting energy.

What they do

They work out how much power a compute site needs and how it reaches the racks. They model loads for dense AI hardware, size distribution and backup systems, and plan how the site behaves when something fails. They work with cooling, network and facilities teams, because heat and power limit each other. They review contractor designs, test failover and document what happens under fault. They also watch live power data, spot drift from the plan and adjust capacity as new clusters arrive.

What a strong hire delivers

In the first months, a strong hire produces a clear power design for a site or expansion, with load assumptions written down and checked. They deliver a resilience plan that has been tested, not just drawn. They give the business an honest view of spare capacity, and they set up power monitoring that shows efficiency and risk early.

How you can tell they are good

Ask them to walk through a power design they owned, including the load numbers and what they got wrong. Ask how they tested failover and what the test showed. Good people talk about swings in AI load, cooling dependencies and safety limits. Be wary of anyone who only quotes headline capacity or has never run a real fault test.

Why it is hard to fill

Few people have planned power for dense AI hardware, so most hires are adapted from nearby fields. Titles vary widely: electrical, facilities, critical infrastructure or HPC. Many strong candidates sit inside large operators and do not look active. The work mixes electrical depth with an understanding of compute behaviour, and that mix is rare.

Where to find them

Look at electrical engineers from data centre operators and colocation providers, and facilities or critical power engineers who have run live sites. HPC and supercomputing teams are another source, as are network and mechanical engineers who moved into power planning. Cloud infrastructure and hardware teams at model providers and frontier labs also hold people with this experience.

Indicative pay

Not enough published evidence yet to give a fair range for this role, which is common for work this new. We benchmark it for you as part of a search.

Interview questions for an AI Data Centre Power Engineer

  1. Tell me about a power design you owned for a high-density compute site. What did you decide and why?

    A strong answer names load assumptions, redundancy choices and trade-offs with cooling and cost. They own a decision and its consequences. Worry if they describe only the team's work or stay at a generic level.

  2. How do you estimate power demand for a new GPU cluster before the hardware arrives?

    Good answers use vendor specs, derating, peak versus sustained draw and growth headroom, and say how they validate later. Worry about single-number estimates or ignoring how training workloads swing load.

4 more questions, with what a strong answer covers, are in the Role Kit.

Job description you can post

We build and run compute sites for AI workloads. We need a power engineer to plan electrical capacity and resilience as our clusters grow. You will work closely with cooling, network and facilities colleagues to keep our sites safe, available and efficient.

What you will do

  • Plan electrical capacity for new and existing AI compute sites
  • Model loads for dense accelerator hardware and forecast growth
  • Design power distribution and backup arrangements
  • Run and document resilience and failover tests
  • Review contractor and vendor designs against our standards
  • Monitor live power and efficiency data and act on trends
  • Work with cooling, network and workload teams on shared limits

What you will bring

  • Designed or operated power for a live data centre or similar critical site
  • Built load models and checked them against real measurements
  • Run or led a resilience or failover test and acted on the findings
  • Clear grasp of safety practice in electrical systems
  • Able to work across electrical, cooling and compute teams
  • Comfortable explaining trade-offs to non-specialists

Nice to have

  • Experience with HPC or accelerator clusters
  • Familiarity with power and cooling modelling tools
  • Background in network or mechanical engineering

Free to use and adapt. If it saves you time, a link back to this page is appreciated.

Skills that matter

  • Hardware and computer architectureAdvancedDesign computing structures and hardware interfaces
  • Cloud and orchestrationAdvancedProvision and operate scalable compute services
  • Distributed systemsWorkingDesign reliable work across networked machines
  • Reliability and incident responseWorkingDetect failures, restore service and prevent recurrence

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How we wrote this

Role definitions are our own editorial work, checked against occupational classifications, standards, research and employer pages. Titles vary by company, and this is a description of the work, not a job advert.

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