Researcher, Compute Scaling
Austin, TX, New York, NY, San Francisco, CA, Seattle, WA$224k - $264kFull-timePosted 3mo ago
About the role
Role focused on building and maintaining forecasting, planning models, and forecasting tooling to support a large-scale compute supply chain for AI infrastructure.
Responsibilities
- 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.
Qualifications
- 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.
Skills
Required:Forecasting and planning modelsData storytelling and clear communication
Nice to have:SQLPythonStatistical or machine-learning forecasting methods
Last updated Sep 1, 2026. Interested? Apply on the company site.
About Fluidstack
Fluidstack builds civilization-scale infrastructure for AI
Fluidstack builds civilization-scale infrastructure for AI, delivering gigawatts of compute in 6 months. We're leading the deployment of Anthropic's $50B compute build out.
AI infrastructurecompute centershardwaresoftwarepowerdata centersAnthropicfrontier compute
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