Staff Software Engineer
About The Position
Fluidstack is building civilization-scale infrastructure for AI, focusing on delivering 10 to 100s of GWs of compute faster than anyone else. This involves rethinking every layer of the stack, from acquiring power and designing data centers to operating them. The company hires individuals who are deeply committed to this mission and operate with high ownership, full autonomy, velocity, and a first-principles approach. The Software Engineering Team is tackling complex problems such as automating site design generation, creating a live, self-updating model of project delivery schedules, and building an agent platform with robust authorization, audit, and guardrails for AI agents to accelerate infrastructure development.
Requirements
- Ability to move toward ambiguity and build clarity in complex situations.
- Capacity to learn new domains and achieve competence quickly.
- Strong taste in abstraction, knowing when to create primitives and when not to.
- Rigor in modeling domains, with experience learning from past mistakes.
- Skill in extracting structure from messy, unstructured data, applicable to ML, data engineering, or research.
- Fluency with AI tooling, including LLM APIs, MCP servers, and agentic frameworks.
- Experience shipping production code that others depend on.
- Comfort working in any language using AI coding tools.
Nice To Haves
- MLE work, especially extraction and synthesis from unstructured data.
- Experience with workflow and orchestration engines (Temporal, Cadence, Airflow).
- Familiarity with Geospatial (KMZ/GIS) or BIM (Revit, IFC).
- Experience with authorization and policy engines (OPA, Zanzibar-style, RBAC/ABAC).
- Knowledge of audit or event-sourcing systems.
- Proficiency in Go, TypeScript, and Postgres.
Responsibilities
- Build core primitives end to end, including entity ownership, audit, authorization, and orchestration, ensuring the right thing is the default and the wrong thing is difficult.
- Own the domain model, transforming Fluidstack's world of power, datacenters, and chips into composable entities that remain robust over time.
- Define and implement interfaces with external systems, ingesting formats like KMZ, BIM, Revit, and vendor documentation.
- Develop AI agents as first-class operators of the systems, providing them with the necessary tools, guardrails, and audit trails for safe operation.
Benefits
- Competitive total compensation package (salary + equity)
- Retirement or pension plan, in line with local norms
- Health, dental, and vision insurance
- Generous PTO policy, in line with local norms
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
