Researcher, Compute Scaling

Fluidstack; San Francisco (CA); On-site; USD 109,000 - 128,000; Full time

Job summary

Fluidstack is seeking a data-driven supply chain analyst in San Francisco to build and maintain demand and lead-time forecasts across critical equipment categories. You will track supplier capacity and delivery risk while turning raw data into actionable weekly signals for procurement and operations.

The role emphasizes data-driven decision making and cross-functional collaboration. Ideal candidates have practical forecasting experience, work well with messy data, and can present clear analyses

Qualifications

• Forecasting or planning models used to drive decisions.
• Worked with messy operational data from multiple systems.
• Detected lead-time or capacity issues early from data.
• Clear written analysis that enables action without meetings.
• Experience partnering with procurement, operations or finance.

Responsibilities

• Build and maintain demand and lead-time forecasts across equipment categories.
• Track supplier capacity, lead times, and delivery risk.
• Model cost and timing trade-offs on equipment commitments.
• Turn raw supplier, shipment, and inventory data into weekly signals.
• Stand up forecasting tooling and dashboards to anticipate disruption.

Skills

Forecasting models

Data wrangling

SQL

Python

Cross-functional collaboration

Decision making

Tools

SQL

Python

Job description

About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

Supply Chain Team

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.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Compensation Range: $109K - $128K