The Role

We are hiring Product Engineers to work on Fluidstack's AI-integrated software stack that enables us to build capacity faster than anyone in the industry.

You will own features at every layer of the stack from concept to outcome, no handoffs, no ticket implementation. You will identify problems, design solutions, build, ship, and measure success.

Fluidstack is flat. No middle management. Nothing in the way of shipping. Our engineers hold the highest levels of ownership in the industry. You won't escalate, you'll ship. You won't ask for approval, you'll just do things. You'll be operating infrastructure worth billions of dollars on a timeline measured in months.

You have one goal: build the infrastructure that reduces time to compute.

How We Operate

• High ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
• Velocity. We drive everything forward as fast as possible.
• First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
• Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

The Decision Team

Examples of key problems the team is working on

• Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand.
• Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit.
• Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them.

What You Will Build

• Supply chain automation: Interfaces where ordering 10,000 GPUs and all supporting components feels like opening a GitHub pull request.
• Capacity forecasting and scheduling: systems that model build timelines, predict bottlenecks, and drive schedules across dozens of concurrent projects
• Internal AI infrastructure: shared agent frameworks, skill libraries, and integrations with the platforms the company runs on, including project management, source control, construction software, messaging, CRM, and internal APIs, so every team at Fluidstack can build with AI, not just engineers
• Operational automation: workflow orchestration and self-service tooling that eliminates manual toil across operations and engineering
• Datacenter design & validation: Applications that generate, simulate, and validate AI infrastructure layouts, power topologies, and cooling configurations.

What We're Looking For

The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.

• 5+ years of software engineering experience shipping production code in Go, Python, or TypeScript, and the ability to work in any language, primarily using AI coding tools to move fast.
• Hands-on experience building with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and working with agentic frameworks.
• Deep fluency with AI coding tools including Claude Code, Cursor, etc. and the ability to get agents to work autonomously alongside you.
• Proven ability to work with high autonomy: identifying problems, designing solutions, and shipping results with minimal direction. You are a barrel, not a passenger.
• Strong systems thinking to balance rapid iteration with building foundations others can extend.
• Excellent communication skills with ability to translate technical concepts for non-technical stakeholders and drive adoption
• Great product and design taste: as the barrier to building gets lower, taste matters more

Compensation & Benefits

Our cash compensation range for this role is $150,000-$275,000. Final offers may vary from the amount listed based on geography, candidate experience and expertise, relevant licenses/credentials, and other factors. We welcome compensation discussions if this range doesn't meet your requirements. Outstanding candidates may be eligible for adjusted terms, plus meaningful equity that ensures you benefit directly from the company's long-term performance.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings. Our compensation package includes base salary, equity for all full time roles, benefits, and, for applicable roles, commissions plans.

Benefits:

• Competitive total compensation package (cash + equity)
• Health, dental, and vision insurance
• Retirement plan
• Generous PTO policy
• We are committed to pay equity and transparency.