Product Engineer, Infrastructure Development & Delivery
Fluidstack8 hours ago
Base Salary
$224k - $300k/yr
Responsibilities
- Build portfolio scheduling software that connects activities, materials, critical paths, and procurement timelines.
- Convert site work packages, contractor entries, rack placements, cable runs, and QA inspections into structured records tied to design revisions.
- Develop change-order workflows covering scope, cost, schedule impact, approvals, bills of materials, and schedule updates.
- Ingest building information models into bills of materials and maintain canonical records for sites, buildings, and data halls.
- Build software-driven commissioning workflows with asset-specific test procedures, evidence capture, energization gates, and handover.
- Work directly with construction, field engineering, scheduling, and commissioning teams to drive adoption under real project deadlines.
Requirements
- Production software development experience in Go, Python, or TypeScript, with the ability to learn other languages as needed.
- Experience building real features with LLM APIs such as OpenAI, Anthropic, or open-weight models, as well as MCP servers and agentic frameworks.
- Daily experience using AI coding tools such as Claude Code and Cursor and enabling agents to work autonomously.
- Ability to independently identify problems, design solutions, and ship production results under tight deadlines.
- Experience building durable foundations that other engineers can extend.
- Credibility with construction leads, field engineers, schedulers, commissioning agents, or other people building physical infrastructure, plus experience driving software adoption.
- Strong product taste and experience building intuitive interfaces and workflows aligned with field operations.
- Preferred experience with construction technology, project controls, P6, schedule engines, critical path analysis, BIM, IFC, Revit, commissioning, BMS/EPMS, controls protocols, document control, submittal workflows, graph data models, or computer vision for site imagery.
Benefits
- Competitive total compensation package including cash and equity.
- Health, dental, and vision insurance.
- Retirement plan.
- Generous paid time off policy.
Tech Stack
Categories
Product Engineering
About Fluidstack
Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.