Researcher, Compute Scaling

FluidStack
Austin, New York, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 109,000 - 128,000 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Extreme ownership","Velocity","First principles","Clear communication","Attention to accuracy"]

Build and maintain demand and lead-time forecasts that help keep procurement ahead of the forward build pipeline across critical equipment categories. Model supplier capacity, lead times, and delivery risk, translating messy operational data into weekly signals, dashboards, and tooling. Use SQL and Python to analyze cost/timing trade-offs, ensure forecast accuracy, and partner with procurement, operations, or finance to change what gets bought and when.

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FluidStack
FluidStack
1 month ago

Researcher, Compute Scaling

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Last checked: 1 hour agoStatus: Live

Job Summary

Build and maintain demand and lead-time forecasts that help keep procurement ahead of the forward build pipeline across critical equipment categories. Model supplier capacity, lead times, and delivery risk, translating messy operational data into weekly signals, dashboards, and tooling. Use SQL and Python to analyze cost/timing trade-offs, ensure forecast accuracy, and partner with procurement, operations, or finance to change what gets bought and when.
Location: Austin, New York, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Build and maintain demand and lead-time forecasts across critical equipment categories.
  • •Track supplier capacity, lead times, and delivery risk; surface thresholds to re-source before schedule slips.
  • •Model cost and timing trade-offs for large equipment commitments so buyers negotiate with data.
  • •Turn supplier, shipment, and inventory data into a weekly signal, reconciling sources that disagree.
  • •Stand up forecasting tooling and dashboards for early disruption visibility.

Pay and Benefits

Salary: USD 109,000 - 128,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Built forecasting or planning models that people use to make decisions.
  • •Worked with messy operational data from multiple systems and turned it into trusted numbers.
  • •Detected lead-time or capacity risks weeks before they become schedule problems.
  • •Wrote clear analysis that buyers or executives can act on without follow-up meetings.
  • •Partnered with procurement, operations, or finance and shipped analysis that changed what was bought or when.
Experience:Supply chainProcurementLogisticsData center
Skills:Extreme ownershipVelocityFirst principlesClear communicationAttention to accuracy
Tech Stack:SQLPython

Company Brief

FluidStack
Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.
Industry: Cloud Computing
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: New York, United States
Founded: 2017
Glassdoor
Glassdoor: 4.7
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