Fluidstack
Researcher, Compute Scaling
$224K–$264K
Austin, TX +2 · On-site · Full-time · Posted Jul 17, 2026
- Location
- Austin, TX
New York, NY
San Francisco, CA
About the job
Builds forecasting models, data pipelines, and dashboards to help Fluidstack’s supply chain team anticipate equipment demand, lead times, supplier risks, and procurement trade-offs.
What you'll do
- Maintain demand and lead-time forecasts across critical equipment categories and monitor supplier capacity, delivery risks, and re-sourcing thresholds.
- Analyze cost and timing trade-offs for equipment commitments and turn supplier, shipment, and inventory data into actionable reporting.
- Develop forecasting tools and dashboards to help the team detect disruptions early.
What they ask for
- Has built forecasting or planning models used to make decisions.
- Has worked with messy operational data from multiple systems and produced trusted metrics.
- Has identified lead-time or capacity problems early and communicated analysis clearly for action.
- Has partnered with procurement, operations, or finance and delivered analysis that changed purchasing decisions or timing.
Nice to have
- Supply chain, procurement, or logistics analytics; data center or hardware equipment experience.
- SQL and Python; statistical or machine-learning forecasting methods; experience scaling analysis in a high-growth operation.
Pay
$224K – $264K (base salary)
Tools
SQL, Python
AI focus
The supply chain team uses AI to forecast lead times, demand, and disruption; the role involves forecasting work, with statistical or machine-learning methods listed as a bonus.
Model-written summary · the original posting is authoritative