Researcher, Compute Scaling

How We Operate

• Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.
• Insane urgency. We drive everything forward as fast as possible.
• Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
• Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
• Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.

Examples of key problems the team is working on

• Supply tens of gigawatts of compute, the largest build out of compute in history. Qualify and dual-source across every critical equipment category, with lead-time and capacity thresholds tied directly to the forward build pipeline.
• Make supply chain the reason we build faster than anyone. Our modular build redefines speed in this industry, and it lives or dies on supply chain. Keep procurement permanently off the critical path so schedule compression stays our advantage, not our constraint.
• Build the most accurate supply chain prediction modelling that exists. Use the frontier of AI to forecast lead times, demand, and disruption with a precision the industry has never had, and turn that foresight into a structural edge.

Role Scope

• Build and maintain the demand and lead-time forecasts that keep procurement ahead of the forward build pipeline across every critical equipment category, from chillers to switchgear to transformers to generators.
• Track supplier capacity, lead times, and delivery risk across dual-sourced categories, and surface the thresholds that trigger a re-source before the schedule slips.
• Model the cost and timing trade-offs on multi-hundred-million-dollar equipment commitments so buyers negotiate from data, not guesswork.
• Turn raw supplier, shipment, and inventory data into the weekly signal the supply chain team runs on, reconciling sources that don't agree.
• Stand up the forecasting tooling and dashboards that let a lean team see disruption coming instead of reacting to it.

What We're Looking for

• The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would
• You've built forecasting or planning models that people actually made decisions on, not slideware that got ignored.
• You've worked with messy operational data from several systems and turned it into a number a team trusted.
• You catch a lead-time or capacity problem in the data weeks before it becomes a schedule problem.
• You write analysis clearly enough that a buyer or an executive can act on it without a follow-up meeting.
• You've partnered with procurement, operations, or finance and shipped analysis that changed what they bought or when.
• You check your own numbers and you know when a forecast is guessing rather than telling you something.
• Bonus: Supply chain, procurement, or logistics analytics. Data center or hardware equipment categories. SQL and Python for data work. Statistical or machine-learning forecasting methods. Scaling analysis inside a high-growth operation.

We are committed to pay equity and transparency.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.