FluidstackAustin, TXBuild and operate high-frequency facilities telemetry data pipelines (power, cooling, BMS, sensors) for scaling AI data centers. Stand up ingestion/streaming infrastructure, automate deployments with IaC, and own end-to-end reliability for gigawatt-scale operations.
Bonus:
Build and own the facilities data pipeline for AI data center telemetry, including ingestion from industrial protocols (BACnet, Modbus, OPC UA), data quality tooling, and serving clean APIs/datasets for dashboards, controls, and ML. Requires production data pipeline experience with on-call ownership, industrial protocol integration, and full-stack debugging.
Build and own production data pipelines, knowledge graph data models, and structured datasets from messy sources (PDFs, spreadsheets, telemetry) to power internal tools, dashboards, and ML models at a frontier AI compute infrastructure company. Requires experience operating depended-on pipelines, schema modeling, data quality engineering, and unstructured data extraction.
Data Operations Manager responsible for building and scaling data strategies, vendor partnerships, and high-quality data pipelines to advance frontier AI research in RLHF, safety, tool use, and agentic systems at Anthropic. Requires 3+ years operations/PM experience, strong project management, data analysis skills, and passion for AI safety.
Builds and manages data pipelines using dbt, SQL, and Python to create scalable analytics infrastructure. Develops dashboards and self-serve tools for company-wide metrics, partnering with Engineering, Product, and GTM teams. Requires 5+ years experience.
Designs and implements dataset infrastructure for OpenAI's large-scale LLM training stack, including standardized APIs for multimodal data, scaling pipelines across GPU fleets, and performance debugging. Requires strong distributed systems experience and collaboration with researchers.