Researcher, Compute Scaling

The role

This person will build and maintain demand and lead-time forecasts for critical equipment categories. They will model cost and timing trade-offs and develop forecasting tooling and dashboards.

What you will do

• Build and maintain demand and lead-time forecasts for critical equipment categories.
• Track supplier capacity, lead times, and delivery risk.
• Model cost and timing trade-offs on multi-hundred-million-dollar equipment commitments.
• Turn raw supplier, shipment, and inventory data into weekly signals.
• Stand up forecasting tooling and dashboards.

Required qualifications

• Built forecasting or planning models that people made decisions on.
• Worked with messy operational data from several systems to create trusted numbers.
• Identify lead-time or capacity problems in data before they become schedule problems.
• Write analysis clearly enough for buyers or executives to act on without follow-up meetings.
• Partnered with procurement, operations, or finance to ship analysis that changed buying decisions.
• Check own numbers and recognize when a forecast is guessing.

Nice to have

• 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.

About the company

Fluidstack aims to deliver 10 to 100s of GWs of compute by acquiring power, designing and building data centers, and operating them. They focus on building civilization-scale infrastructure for AI.