Jobs at Fluidstack

Build production software that automates capital pipelines, contract extraction, and asset close processes by integrating LLMs and agentic systems with finance, legal, and accounting workflows. Embed with subject-matter experts, translate contracts and events to structured data, and enable rapid, auditable financing and close procedures across concurrent infrastructure projects.

Own hiring strategy and execution for the Software organization and scale TA across manufacturing, supply chain, and operations. Build and lead a team of recruiters, sourcers, and coordinators; partner with senior hiring managers on forecasting and mapping talent needs; design hiring processes, ATS workflows, interview rubrics, and metrics; run critical searches (including hard-to-fill skilled trades and procurement roles); and drive employer brand and recruiting performance.

Lead and scale talent acquisition for Fluidstack's Data Center organization: own hiring strategy, execute critical searches, build and manage a TA team, partner with senior hiring managers on workforce planning, design fast high-quality hiring processes, and own recruiting metrics and infrastructure.

Build software to automate and accelerate data-center deployment: a live deployment knowledge graph, sequencing and scheduling rules, contractor bidding workflows, per-rack checklists and inspections, and automated closeout evidence. Collaborate with field engineers to turn site data into structured, queryable systems and tools that reduce manual work and speed handover to operations.

Lead design, development, and commissioning of SCADA/BMS/EPMS for data centers. Develop architectures, program PLCs/SCADA/HMIs, create SOOs/P&IDs, mentor engineers, and support FAT, construction, and commissioning across US and Europe.

Lead the controls design development team to create repeatable template designs, SOOs, point lists, BOMs, and Division 25 specs. Set technical direction and reference architectures, drive cross-discipline design decisions to meet site schedules, automate commissioning, and hire and grow controls engineers to scale modular data center deployments.

Develop, test, and validate template PLC programs for data center mechanical equipment across multiple PLC platforms. Implement sequences of operations in PLC code, wire and bench-test PLCs and sensors, debug against real IO and failure conditions, and create reusable, portable code for fleetwide deployment.

Design template controls packages, sequences of operations, points lists, and BOMs for modular data centers. Own Division 25 automation spec, coordinate controls across mechanical/electrical/commissioning teams, and produce repeatable, deployable controls designs for programming and field implementation.

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.

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.

Deploy, validate, and support data center network infrastructure: configure switches, install and test optics and fiber (OTDR/insertion loss), manage hardware logistics, maintain as-builts/cutsheets, and collaborate with cross-functional teams to drive on-site deployments and post-deployment incident response. Frequent travel for onsite turn-ups.

Build and operate automated network monitoring, debugging, and repair tooling for a hyperscale datacenter fleet. Define realtime health metrics, ship alerting and dashboards, automate fault detection-to-RMA pipelines, and own network qualification, reliability, and scalability across sites and host-to-network layers.

Design, build, and operate automated network monitoring, debugging, and repair pipelines for a hyperscale datacenter fleet. Own fleet health, alerting, validation, and tooling from detection through RMA and return-to-service. Ship production network automation, support on-call incidents, and scale networks via aggressive automation and diagnostics.

Build and maintain foundational infrastructure platforms (CMDB, DCIM, asset lifecycle, monitoring, observability, automation). Deliver self-service tooling, workflow orchestration, integrations, and scalable, reliable systems while partnering with operations, security, and product teams. Drive technical direction, CI/CD, IaC, and production readiness for fleet-scale data center infrastructure.

Build and own end-to-end network fleet health, monitoring, alerting, and dashboards. Ship active debugging tooling, remote command execution, and diagnostics linking NIC-to-router paths. Automate repair pipelines from detection through RMA, ticketing, and return-to-service. Define network qualification/validation gates and ensure reliability, scalability, and operation of hyperscale datacenter networks.

Design, build, and operate the observability and control-plane for a hyperscale GPU fleet. Own data pipelines, API surface, fleet state as source-of-truth, distributed command execution, and clean hardware/site onboarding (ZTP/DHCP/DNS). Ensure production reliability, run incidents, and drive automation to eliminate toil.

Design and own core backend primitives (entities, authz, audit, orchestration), model datacenter and hardware domains, ingest vendor/geospatial/BIM formats, build durable workflow and agent platforms, and enable AI agents to operate systems safely with strong guardrails and audit trails.

Build Fluidstack's AI-integrated software stack end-to-end: supply chain automation, capacity forecasting, internal AI tooling and agent frameworks, operational automation, and datacenter design/validation. Ship features from concept to production with high ownership and measurable outcomes.

Build and operate the observability platform, data pipelines, and production control plane for a hyperscale GPU fleet. Define infrastructure API surfaces, ensure fleet state is source of truth, integrate new hardware (ZTP/DHCP/DNS), and maintain Kubernetes-based infrastructure and SLOs. Own incidents, postmortems, and system reliability.

Build and operate large-scale GPU compute fleet tooling: metrics pipelines, alerting, Redfish/BMC telemetry, repair/RMA automation, GPU qualification, and orchestration for Kubernetes and bare-metal deployments. Own reliability, scalability, incident response, and automation to minimize manual toil.