Jobs at Fluidstack

Own sourcing and purchasing for critical equipment supporting a 10GW compute infrastructure build. Lock vendor capacity and lead times, monitor production commitments from purchase order through delivery, and resolve schedule risks. Build and lead the category management team, establish sourcing processes, and partner with design, construction, and manufacturing teams to ensure equipment arrives on schedule.

Owns the structural steel category for modular manufacturing and construction. Responsibilities include sourcing regional fabrication capacity, negotiating material and fabrication pricing, managing commodity exposure through indexing or hedging, qualifying fabricators for quality and capacity, and balancing production loads across suppliers. The role requires expertise in structural steel procurement, fabrication economics, supplier capacity assessment, and industrial-scale sourcing.

Inspect inbound freight and returned hardware, documenting condition, shortages, damage, serials, and disposition. Manage carrier and insurance claims from evidence collection through resolution. Evaluate carriers, 3PLs, and warehouse operators using delivery and damage metrics, drive corrective actions, and establish standardized receiving, packaging, handling, and defect-reporting procedures across sites.

Build production software that automates hiring, financial forecasting, capital deployment, contract analysis, accounting, and operational workflows. Partner directly with finance, legal, treasury, recruiting, and delivery experts to convert real-world processes into structured data, generated work, and integrated systems. Develop AI-powered features using LLM APIs, MCP servers, and agentic frameworks, while independently identifying problems, designing solutions, and delivering quickly under deadline.

Build production software and AI-powered workflows for hiring, finance, capital planning, contracts, accounting, and business operations. Work directly with finance, treasury, legal, recruiting, and accounting experts to convert processes into structured data, automated systems, and generated work. Develop LLM-based document extraction, integrations, forecasting tools, capital pipelines, recruiting systems, and continuous-close workflows while independently identifying problems and rapidly shipping extensible solutions.

Build fleet health, repair and RMA workflows, hardware qualification systems, facility maintenance and asset-management platforms, and structured operational procedures for large AI compute deployments. The role involves production software development, LLM and agent integrations, Kubernetes and bare-metal operations, hardware validation, incident reduction, and forward-deployed collaboration with production engineers and facility operators.

Build software systems for large-scale AI compute operations, including fleet health monitoring, repair and RMA workflows, hardware qualification, facility maintenance, asset management, runbooks, and operational dashboards. The role involves shipping production software, integrating AI agents and LLM APIs, working with production engineers and facility operators, participating in on-call operations, and improving reliability across Kubernetes, bare-metal, and GPU infrastructure.

Build software for AI compute infrastructure, including fleet health monitoring, telemetry, incident correlation, repair and RMA workflows, hardware qualification, facility asset management, maintenance systems, and operational dashboards. Develop production features using Go, Python, or TypeScript and AI tooling. Work closely with production engineers and facility operators, participate in on-call rotations, and automate operational procedures across Kubernetes, bare metal, and large-scale GPU environments.

Owns end-to-end physical data center network implementation for hyperscale AI infrastructure, including fiber plant architecture, transceiver planning, structured cabling, optical link budgets, port-to-fiber mapping, and DCIM integration. Collaborates with construction, power, cooling, and design teams; develops technical specifications, SOPs, and basis-of-design documents; and plans cabling and optics across multiple hardware generations.

Build and manage a global spare-parts sourcing program for critical data center equipment. Responsibilities include qualifying and dual-sourcing suppliers, negotiating pricing and inventory agreements, setting stocking levels and reorder points, forecasting demand using failure data and maintenance schedules, and maintaining accurate parts and supplier records across sites and regional depots.

Build and operate production data pipelines integrating ERP/ATS/project management/telemetry into a queryable layer. Own the data model for a live knowledge graph. Ship SLA-backed datasets/services for tools and ML. Convert unstructured vendor/field data (PDFs, spreadsheets) into trusted structured inputs. Ensure data quality via tests, monitoring, and lineage, and use modern data stacks and LLM tools responsibly.

Own network delivery programs for data center site activations, ensuring structured cabling, optics, switches, routers, circuits, and vendor integrations meet launch schedules. Define network readiness gates and acceptance criteria, coordinate engineering, operations, deployment, supply chain, and external partners, and manage risks, incidents, corrective actions, and vendor performance across the site fleet. The role requires 50% travel.

Own the contractor and extended workforce program from intake through offboarding. Manage staffing vendors, maintain compliant worker classification and onboarding processes, advise hiring managers on workforce solutions, improve vendor management systems and workflows, and partner with Legal, Finance, and IT on escalations, controls, reporting, and data protection.

Own Fluidstack’s corporate development pipeline, from sourcing and underwriting through negotiation and close. Structure bespoke transactions including joint ventures, minority investments, convertibles, warrants, and acquisitions. Evaluate strategic and financial returns across power, land, supply chain, and infrastructure, negotiate governance and control terms with principals and counsel, and align executives and operating teams around completed deals.

Leads Fluidstack’s FP&A function, including annual planning, forecasting, long-range modeling, scenario analysis, board and investor reporting, KPI development, variance analysis, IPO readiness, and FP&A systems implementation. Partners with executive leadership and cross-functional teams to guide capital allocation and growth decisions while building a high-performing finance organization and scalable financial processes.

Build and own production software for facility energy control, including protocol and gateway services, messaging and state layers, data contracts, constraint execution, and observability. The role requires high-throughput messaging, time-series data modeling, resilient service design, device-to-database data integrity, and real-time operational systems experience. Bonus technologies include Go, NATS, Redis, industrial protocols, Kubernetes, ArgoCD, SCADA, EMS, and Grafana.

Build production AI-powered software for hiring, finance, capital planning, contract analysis, and operational workflows. Develop LLM features, MCP servers, and agentic systems; embed with finance, legal, recruiting, accounting, and operations teams; translate expert workflows into structured data and automated processes; and ship autonomous, user-friendly products rapidly.

Build AI-powered software automating hiring, finance, capital planning, contract analysis, and operational workflows. Develop production features using LLM APIs, MCP servers, and agentic frameworks; integrate enterprise systems; transform expert processes into structured data and generated work; and collaborate directly with finance, legal, recruiting, accounting, and delivery teams. The role emphasizes autonomy, rapid execution, product judgment, and forward deployment with business experts.

Design and build end-to-end software primitives for AI infrastructure: domain modeling of power/datacenters/chips, authorization, audit, orchestration, vendor data ingestion (KMZ/BIM/Revit), and agent integration to enable safe, auditable agent operators. Ship production-quality systems and work across ambiguity to turn unstructured data into durable, composable entities.

Design end-to-end datacenter network architectures for AI training and inference: topology, IP/routing, RDMA/lossless fabrics, physical integration (rack, power, cabling), and comprehensive HLD/LLD documentation. Collaborate with hardware, operations, cabling, software, and validation teams to produce deployable, scalable, and performance-validated designs.