Research Analyst

Consensus Core builds and operates data center infrastructure and a GPU cloud platform for AI compute — spanning power, GPUs, networking, and model deployment. We're an NVIDIA partner and we're scaling fast. We're building a research publication that technical buyers, engineers, and investors actually read.

The role

You'll function as an in-house analyst covering the AI infrastructure space. Your job is to track what's happening, decide what's worth writing about, and produce sharp, well-researched pieces that reflect genuine understanding, not summaries of other summaries or AI slop. You'll use AI tools to assist with drafting, but the research, framing, and intellectual judgment are entirely yours.

When a new chip drops, a paper challenges conventional thinking, or a debate breaks out in the industry - you'll know about it before we do, and you'll have a take.

What you'll cover

GPU and chip architecture, AI training and inference infrastructure, data center design, networking, the GPU cloud market, hyperscaler strategy, sovereign AI, and the economics of compute.

Who we're looking for

Someone who follows this space closely and finds it genuinely interesting. A native English speaker who writes with precision. Someone self-directed enough to own a content calendar without hand-holding and manage both long-form research and quick/short form blog content. A background in CS, EE, physics, or economics is a strong plus, but how you think and write matters more than your credentials.

To apply

Share your CV and 2–3 examples of your writing or research. Include a short note on what topic in AI infrastructure you think isn't getting the attention it deserves right now.