Jobs at Fluidstack

Own and run the release process from engineering to production: manage drawings, BOMs, ECOs/ECNs, and revision control. Ensure PLM/ERP/MES sync and BOM integrity, gate release readiness with DFM and tolerance checks, and communicate changes across design, supply chain, quality, and production to prevent builds to stale revisions.

The Site Selection Manager will lead procurement for data center sites, conduct due diligence, maintain relationships with stakeholders, and negotiate leases.

Lead detection engineering end-to-end: threat modeling, detection-as-code, deployment, tuning, and retirement. Build and maintain SIEM/EDR pipelines, run threat hunts, automate triage, and lead incident response with root-cause writeups tied to durable detections.

Build and lead detection engineering: create telemetry pipelines, detection-as-code with versioning and CI, write cloud and endpoint detections, automate triage/enrichment in Python, lead high-severity incident response, and partner with corp IT and infrastructure to obtain telemetry and remediate root causes.

Lead Fluidstack's editorial voice and content strategy for technical audiences. Turn complex infrastructure, AI, and energy work into credible long-form essays, launch messaging, and executive communications. Build and run an editorial pipeline, set writing standards, partner with founders and engineers, and ship timely, high-quality public-facing content.

Own roadmap and product direction for ontology and data products. Translate messy operational domains into data models and specs. Ship end-to-end with engineers, validate with stakeholders, and define metrics proving operational leverage.

Lead end-to-end R&D program plans for hardware and infrastructure: scope, sequencing, owners, and critical path from concept through prototype, qualification, and production handoff. Run NPI programs, coordinate design reviews, procurement, lab/test capacity, surface risks, drive cross-functional execution with manufacturing, supply chain, and deployment, and build leadership reporting while optimizing for velocity.

Own and scale the GPU compute fleet: build metrics, alerting, observability, and repair automation; design GPU qualification/burn-in pipelines; own Redfish/BMC tooling and firmware telemetry; run incidents, eliminate toil, and deliver end-to-end reliability and orchestration for Kubernetes and bare-metal compute at hyperscale.

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.

Model and track fleet capacity (power, space, cooling, compute), forecast constraints, connect deployment schedules to sellable capacity, run scenario analyses to inform allocation and deal decisions, and build executive-ready reporting.

Build AI-powered internal tools and shared AI infrastructure (agents and skills), integrate LLMs with internal systems, design and ship web applications, and enable cross-functional adoption through documentation and support.

Own and scale a global payroll function end-to-end: build systems, processes, and team; ensure payroll accuracy, compliance, and timeliness across jurisdictions; handle payroll accounting, reconciliations, accruals, and month-end close; partner with Finance, Legal, HR, and Execs; support audits and international expansion.

Build and operate GPU fleet infrastructure: metrics, alerting, Redfish/BMC tooling, repair and qualification pipelines, automation for failure detection through RMA, and ensure reliability, scalability, and observability for Kubernetes-orchestrated and bare-metal GPU deployments.

Lead technical execution of large-scale network deployments: define ZTP and validation playbooks, set acceptance criteria, resolve escalations across links and fabrics, and automate turn-up processes to eliminate manual repetition.

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.

As a Revenue Manager, you will oversee the core accounting operations, manage financial records, and drive financial reporting as the company scales rapidly.

Design and develop the mechanical aspects of data-center robotics including end effectors, docking, and robot-plant interfaces. Rapidly prototype, test to failure, instrument trials, and productionize hardware with DFM, reliability, and spare strategies while collaborating closely with controls and software teams.

Own the steel category for structural and fabricated assemblies: source regional fabrication capacity, qualify fabricators for quality and throughput, negotiate raw material and fabrication pricing resilient to commodity swings, balance weekly loads across shops, and manage commodity exposure through indexing or hedging.

Serve as Fluidstack's public face at town halls, hearings, and community events; build and maintain relationships with officials, utilities, nonprofits, and stakeholders; identify and mitigate political and reputational risk; deploy community benefit programs and local hiring/education partnerships; manage external lobbyists, consultants, and PR agencies across concurrent site campaigns.

Manage deployment projects for controls and sensor systems across multiple data center sites: scope, schedule, vendors, installations, integration with construction and commissioning, vendor relationships, and punch-list closure to completion.