Jobs at Fluidstack

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.

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.

Own facility energy-control interfaces for large-scale data centers. Define data contracts, sequences of operation, point maps, interlocks, constraints, and vendor requirements. Translate electrical and software requirements, validate controller behavior through simulation, support factory and site acceptance testing, and automate commissioning. The role requires industrial communication protocols, software prototyping, electrical system interpretation, control narratives, and experience integrating facility, generation, and power plant control systems.

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.

Owns the specification, evaluation, integration, testing, and fleet support of rotating equipment for behind-the-meter power generation. Responsibilities include engineering mechanical packages, defining vibration and alignment requirements, conducting factory and site acceptance testing, evaluating vendor performance, and root-causing field reliability issues. Preferred experience includes gas turbine or reciprocating engine package integration, API standards, condition monitoring, and power plant commissioning.

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.

Serve as a people partner for client organizations while owning the company’s immigration and visa sponsorship program. Manage immigration cases and outside counsel, handle employee relations investigations, run onboarding and performance processes, and coach managers through rapid organizational growth. The role requires expertise with employer-sponsored immigration programs, HR business partnering, employment law, and sensitive employee relations matters.

Owns hazardous energy control and electrical safety across multiple gigawatt-scale data center construction sites. The role approves switching plans, LOTO procedures, energization sequences, and zero-energy verification; leads energization meetings; audits field safety practices; manages Kirk key and tamper seal programs; and oversees site Energy Marshals. It also establishes multi-site standards, training, tracking, and coordination across contractors, utilities, commissioning teams, and operations.

Build and lead Fluidstack’s corporate sustainability program for large-scale AI infrastructure. Responsibilities include creating Scope 1–3 GHG inventories, managing disclosures and customer data requests, developing water strategies and WUE targets, establishing auditable environmental data systems, gathering supplier and logistics emissions data, and coordinating sustainability commitments across design, construction, energy, supply chain, and commercial teams.

Design and validate thermofluids systems for large-scale AI data center cooling. Responsibilities include developing cycle models, selecting working fluids, designing heat exchangers and piping, sizing valves and relief systems, analyzing coupled thermal and fluid trades, and validating predictions against test-stand data. The role requires rigorous model calibration, honest reporting of discrepancies, and technical analysis that drives machine design decisions.

Own control architecture for rotating machinery and test rigs, including compressors, motor drives, expansion turbines, and thermofluid loops. Develop safety interlocks, fault handling, speed-based capacity control, and hardware-in-the-loop validation. Tune controls on live machines, investigate model-to-plant discrepancies, integrate production chillers with site BMS and plant systems, and document systems for operations teams.

Own compressor testing from test-cell commissioning through validated performance mapping. Responsibilities include specifying test cells and instrumentation, defining measurement chains and uncertainty budgets, writing test plans and safety interlocks, analyzing data, supporting design changes, and conducting failure investigations. The role focuses on high-pressure, high-speed rotating machinery, thermofluids, refrigeration performance, and data acquisition.

Owns end-to-end aerodynamic and mechanical design of high-speed turbomachinery, including centrifugal compressors, expansion turbines, rotordynamics, magnetic bearing integration, stress analysis, and machine architecture. The engineer will take designs from mean-line analysis and CFD through geometry release, build, test-stand validation, performance-map analysis, and iterative redesign. Work spans advanced cooling systems, novel working fluids, high-speed motor-driven machines, and rapid development from concept to production.

Own the electrical design and integration of high-power machines, including DC buses, inverters, motor drives, magnetic-bearing amplifiers, test-cell power systems, and load banks. Lead EMC, harmonics, bearing-current, insulation, arc-flash, and electrical-safety work through installation and commissioning. Develop safe work practices for energized equipment and bring first-of-a-kind systems to full-rating operation.

Build software systems for large-scale AI compute operations, including fleet health monitoring, automated repair and RMA workflows, hardware qualification, facility asset management, and structured operational procedures. Develop production features using Go, Python, or TypeScript; integrate LLMs and agentic tools; support on-call operations; and work closely with production engineers and facility operators to improve reliability and deployment speed.

Lead product direction for ontology and data products that model and support compute production. Translate messy operational domains into data models, specs, and product surfaces; drive technical tradeoffs and ship end-to-end; run stakeholder discovery and validate impact; define and track success metrics to optimize product outcomes.