FluidStack
Software Engineer, Product
San Francisco, CA$150k–$350kfulltimemidAdded today
About this role
Fluidstack is seeking a Software Engineer to build AI-integrated infrastructure software that accelerates data center deployment and compute capacity. You'll own features across the full stack—from supply chain automation to capacity forecasting—with complete autonomy and minimal bureaucracy, working on civilization-scale infrastructure.
What you'll do
- Design and ship end-to-end features for supply chain automation, capacity forecasting, and operational workflows
- Build internal AI infrastructure including agent frameworks and integrations across company platforms
- Develop datacenter design validation tools for infrastructure layouts, power, and cooling configurations
- Identify problems, architect solutions, and measure impact with minimal direction or approval processes
- Collaborate across hardware and software teams to reduce time to compute
- Maintain balance between rapid iteration and building extensible foundations for other teams
What they're looking for
- Go, Python, or TypeScript production experience
- LLM APIs (OpenAI, Anthropic) and agentic frameworks
- AI coding tools (Claude Code, Cursor, etc.)
- Systems thinking and architecture design
- High-autonomy problem solving and shipping
- Technical communication with non-technical stakeholders
- Product and design sensibility
- Workflow orchestration and automation
Benefits
- Competitive base salary ($150,000–$275,000)
- Meaningful equity for direct long-term benefit
- Flat organizational structure with no middle management
- Extreme ownership and autonomy over shipped work
- High-impact role on civilization-scale infrastructure
Likely interview questions
- Tell us about a time you shipped a complex feature end-to-end without approvals or handoffs—what enabled you to move fast?
- Describe your experience with LLM APIs and agentic frameworks—what have you built and what did you learn?
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