Software Engineer, Ontology
Fluidstack · San Francisco, CA
About this role
## About Fluidstack We exist to make humanity more free. Powerful AI can be the biggest lever for human choice—but only if models are aligned with what humanity actually wants. Fluidstack builds **frontier compute infrastructure** at **10 to 100s of GWs**, rethinking every layer of the stack. ## How We Operate - **Be a barrel:** Full autonomy. Own things end to end. - **Insane urgency:** Move fast. - **Reason from first principles:** Challenge assumptions; best idea wins. - **Love of the game:** High-intensity focus on the frontier of AI. - **Build something that actually matters:** Work that improves the world. ## The Ontology Team Key problems the team is working on: - **Reduce change-to-knowledge latency:** Index operational systems, documents, conversations, and telemetry so delayed events still become usable context in time to act. - **Shared identity across the domain:** Connect design, orders, delivery, deployment, and incidents even when systems describe them differently. - **Turn knowledge into business signals:** Compare plans vs. observations across sites, supply chains, and compute operations to surface the gaps that matter. - **Secure agent platform:** Make agents first-class citizens with permissioned access and answers that are traceable to sources, freshness, and evidence gaps. ## Role Scope - Build the **index and graph engine** connecting operational data, documents, and conversations as new information arrives. - Define **entities, relationships, and identity rules** for sites, equipment, orders, and incidents. - Detect **meaningful changes** and publish **evidence-backed signals** when observed state diverges from plan. - Provide engineers and agents **fast, authorized querying** with clear provenance and freshness. - Measure **change-to-knowledge latency**, **answer quality**, and **signal quality** against real operational questions and events. ## What We’re Looking For - Built and operated a **foundational data system** used by multiple teams for decisions or critical workflows. - Made **heterogeneous data sources** work as one coherent model. - Built **extensible data platforms** that let teams add new domains and questions. - Built systems that turn **continuous streams of changes** into timely, reliable operational signals. - Partnered with **domain experts** to define data meaning and what changes matter. - Made hard tradeoffs between **correctness, freshness, query speed, and access control**, validated with production evidence. **Bonus** - Temporal data models (e.g., Datomic, EAVT) - Search/retrieval over unstructured data - Database/indexing internals - Formal ontology & semantic web standards (RDF, OWL, SHACL, SPARQL) - Physical infrastructure or inventory systems ## Equal Employment Opportunity Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration without regard to protected characteristics under applicable law. ## Apply https://jobs.ashbyhq.com/fluidstack/05c2e69c-42f9-4fcb-9cf0-a467aaf98f1c *Privacy/AI notices:* - https://fluidstack.io/legal/applicant-privacy-notice - https://fluidstack.io/legal/ai-screening-notice - https://fluidstack.io/legal/ashby-bias-audit
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