Lead mechanical engineering R&D for cooling, piping, and mechanical systems in modular data centers and power infrastructure. Own reference designs, enforce technical standards, review vendor packages, and grow the team while solving the hardest problems.
Own QA for capacity delivery engineering at Fluidstack, building QA programs, checklists, and acceptance criteria for data center builds. Audit vendors, close NCRs at root cause, and feed lessons back into designs for large-scale AI compute infrastructure.
Mechanical Engineer responsible for designing and modeling demand-flexible cooling systems for AI data centers, including thermal inertia modeling, field validation, and turning cooling infrastructure into a grid asset. Requires experience with dynamic thermal modeling and HVAC systems for data centers or industrial plants.
Senior Manager owning global indirect tax (VAT/GST/sales & use) for a fast-growing AI data center company. Build compliance, registrations, filings, reclaims, and advise on structuring from first principles across multiple countries.
Fire Protection Engineer responsible for designing detection, suppression, and alarm systems for AI data center modular units and plants. Owns hydraulic calculations, layouts, standardized fabrication designs, permitting, and commissioning for mission-critical facilities.
Own production equipment end-to-end from URS through SAT, vendor selection, FAT, installation, integration into controls/data systems for OEE/MES, and post-handoff uptime/cycle-time improvements. Requires hands-on experience launching automation cells, running FATs, integrating sensors/drives/logic, and completing installs with training/spares/documentation.
Own the consumables category (coolant, filters, PPE, spares) for Fluidstack's massive AI compute buildout. Set stocking strategies, negotiate national agreements, standardize SKUs, and build automated consumption-based replenishment systems across multiple data center sites.
Engineer modular data center products across structures, enclosures, and MEP systems from concept through released drawings and production support. Requires hands-on experience with complex physical products or modular construction, cross-disciplinary problem solving, and clean fabrication-ready drawings.
Own manufacturing engineering for mechanical, electrical, and controls module assembly. Build and launch assembly processes, balance lines to takt, drive ramp improvements in hours per unit and first-pass yield.
Lead the infrastructure modelling team at Fluidstack to own the source-of-truth BIM and data models for AI compute sites, systems, and equipment. Drive architecture, standards, automated model-based delivery, and grow a cross-functional BIM/software team.
Own end-to-end manufacturing launch from factory installation through first units to full rate production. Run daily war room, drive cross-functional decisions, recover at-risk ramps, and document playbooks for faster subsequent factory launches.
Lead operations representation in R&D for AI compute infrastructure. Own operability requirements, build O&M foundations, and run reviews to ensure maintainable designs for data centers and critical facilities.
Mechanical engineer owning BESS enclosure design, thermal management (validated by test), and behind-the-meter site integration for AI data center energy storage. Requires experience with power electronics or thermal-critical systems, safety codes like NFPA 855, vendor evaluation, and field deployment support.
Model and track greyspace capacity (electrical, mechanical, support space) across data center sites to ensure constraints are identified early. Build source-of-truth views, analyze trade-offs, and support design/delivery/operations teams with data center or industrial planning experience.
Tech lead setting technical direction and building core pieces of an internal platform for AI compute infrastructure, including orchestration, integrations, and shared systems. Requires experience designing platforms others depend on, high-bar code review, and daily use of AI coding tools.
Mechanical Engineer designing and productionizing robotics systems for data center automation, focusing on end effectors, docking interfaces, rapid prototyping, reliability testing, and integration with controls/software teams. Requires robotics/mechatronics hardware experience from prototype to production.
Build and maintain site-level capex, opex, and cash forecasts for AI data centers. Own monthly forecast cycles, model scenarios rapidly, and automate pipelines from source systems. Requires strong experience building infrastructure forecasts, expert Excel/SQL skills, and auditable modeling.
Build and own the facilities data pipeline for AI data center telemetry, including ingestion from industrial protocols (BACnet, Modbus, OPC UA), data quality tooling, and serving clean APIs/datasets for dashboards, controls, and ML. Requires production data pipeline experience with on-call ownership, industrial protocol integration, and full-stack debugging.
Build and own software for hardware new product introduction at Fluidstack, including test orchestration, benchmark automation, data pipelines, and lab-to-fleet validation tooling. Requires experience with hardware test/lab software, turning manual workflows into pipelines, and production Python/Go.
Build and maintain coordinated BIM models (mechanical, electrical, structural) for data center projects. Run clash detection and resolution, automate modeling with scripts and templates, and produce model-derived drawings and schedules. Requires BIM production experience on complex industrial projects plus scripting skills.
Own and engineer industrial paint line and surface treatment processes (pretreatment, coating, cure) for data center hardware at production scale. Ensure quality, adhesion, compliance, and root-cause problem solving for liquid/powder coatings.
Lead a small high-velocity engineering team building internal operational software and tools for AI compute infrastructure buildout. Stay hands-on coding while owning priorities, delivery, engineer growth, hiring, and cross-functional product decisions.
Build and own daily production schedules in a high-velocity manufacturing environment for AI compute infrastructure. Maintain accurate MRP data, replan rapidly around constraints and shortages, coordinate with supply chain, and drive schedule adherence.
Engineer virtualized PLC platform for data center controls, porting industrial control logic to software-defined infrastructure while preserving determinism, safety, and real-time performance. Requires professional PLC programming experience and knowledge of virtualization for controls.
Own robotic weld cells for structural steel in AI data center production. Develop GMAW programs, commission cells, solve distortion/penetration issues, and drive first-pass yield using production data and WPS discipline.
Build and ship software that automates data center commissioning, including test orchestration, data capture, pass-fail analysis, and live reporting by integrating with BMS, EPMS, and test equipment. Requires experience building test automation or orchestration systems for hardware/infrastructure and replacing manual processes with trusted software.
Design and own production tooling and fixtures (weld fixtures, assembly jigs, lifting tools) from concept through validation, lifecycle management, and operator-focused design for high-volume fabrication/assembly. Requires proven experience designing fixtures that hold tolerance at rate using proper stack-ups and capability studies.
Counsel responsible for drafting, reviewing, and negotiating commercial contracts (customer, supplier, NDAs) end-to-end. Provides direct business advice, builds self-serve templates, and prioritizes speed in high-velocity AI infrastructure company. Requires independent deal experience and active law license.
Own global sourcing and supplier negotiations for manufacturing facilities equipment, fit-out, and services to support rapid production ramps. Requires proven experience sourcing capital equipment at scale, building supplier redundancy, and negotiating from should-cost models.
Design, produce build packages for, integrate, and support deployment of physical security systems (access control, video, intrusion, perimeter) for AI data centers. Requires hands-on experience engineering these systems for critical facilities and coordinating with electrical/IT teams.
Own the fiber and optics supply chain category for massive AI data center builds. Negotiate high-volume agreements, dual-source transceivers, qualify components, and forecast demand to keep procurement off the critical path.
Execute hardware qualification programs for AI compute infrastructure, owning test benches, logging and triaging failures, and maintaining labs with server-class hardware. Requires hands-on hardware test/validation/lab experience, precise test execution, and organized failure documentation.
Qualify and benchmark next-generation GPU and server hardware for AI compute infrastructure. Hands-on validation, stress testing, root-causing failures, and documenting fleet standards for large-scale data center deployment.
Technical lead owning network architecture, standards, design reviews, and cross-domain escalations for large-scale AI compute infrastructure. Requires senior authority on very large network estates and fabric-scale decisions.
Security Engineer securing frontier AI compute infrastructure. Own cloud/bare-metal control plane security, build guardrails as code, engineer detection/response, and secure multi-tenant boundaries for high-value training workloads.
Design material flow and intralogistics systems for heavy manufacturing of AI data center modules, including cranes, AGVs, conveyance, layouts, throughput modeling, and dock-to-line replenishment to eliminate unnecessary handling touches.
Lead financial forecasting for datacenter capex, opex, and cash flows. Build models and run scenario analysis to guide site sequencing, deals, and capital raises at a high-velocity AI infrastructure company. Requires leadership experience in capital-intensive infrastructure forecasting with strong actuals reconciliation.
Run end-to-end multi-state payroll for a rapidly scaling 24/7 data center workforce, owning close processes, reconciliations, new state setups, and automation of inputs from time data through equity events.
Lead fire protection engineering (detection, suppression, life safety) for Fluidstack's modular data centers and behind-the-meter power plants. Own reference designs, drive AHJ approvals for novel systems, and set standards as the AI compute infrastructure portfolio scales. Requires prior leadership in mission-critical or energy facility fire protection and deep NFPA code expertise.
Lead BMS controls engineering for AI data center fleet. Own standards for sequences, points lists, network architecture; drive vendor strategy and team growth. Requires prior leadership of BMS/controls for data centers or large plants, with experience standardizing across portfolios.
Build and ship production software for data center robotics including task planning, fleet coordination, autonomy behaviors, and operational tooling with remote monitoring and diagnostics. Requires experience shipping robot/autonomous systems software with ROS on real hardware, plus strong integration and remote failure engineering skills.
Own the mechanical equipment category (CDUs, chillers, pumps, dry coolers) for Fluidstack's liquid-cooled data centers. Negotiate multi-year supply agreements with OEMs, dual-source platforms, qualify second sources, and coordinate with design/manufacturing to keep procurement off the critical path for massive AI compute buildout.
Secure Fluidstack's corporate environment end-to-end including identity, endpoints, SaaS, email, and zero-trust access for a rapidly growing workforce. Build detections, automate controls as code, and respond to incidents protecting frontier AI infrastructure.
Mechanical Engineer designing and owning end-to-end cooling systems (hydraulics, heat transfer, piping, heat rejection) for modular AI data centers. Requires hands-on experience with data center or industrial HVAC/mechanical systems, independent calculations, equipment specification/integration, and design validation against test data.
Build and own production data pipelines, knowledge graph data models, and structured datasets from messy sources (PDFs, spreadsheets, telemetry) to power internal tools, dashboards, and ML models at a frontier AI compute infrastructure company. Requires experience operating depended-on pipelines, schema modeling, data quality engineering, and unstructured data extraction.
Technical leader owning compute qualification, first-silicon and new-platform validation, test automation, and root-cause failure analysis for AI compute infrastructure. Requires senior hardware validation or systems engineering experience with early hardware qualification and automation ownership.
Design and defend network security architecture for AI compute infrastructure at gigawatt scale, including segmentation, detection, and OT hardening across data centers, corp, and cloud. Requires experience securing large production networks with IT/OT mix, packet analysis, IaC for security controls, and real intrusion detection.
Lead commissioning of BMS, EPMS, and automation controls for first-of-kind data center units at Fluidstack. Verify sequences, execute and improve test scripts, analyze trends, and support factory FAT processes for AI compute infrastructure.
Lead the design, architecture, and implementation of a large-scale facilities telemetry platform for AI data centers, ingesting sensor data from industrial protocols into queryable time-series systems while setting data standards and leading a small team.
Lead mechanical commissioning for AI data center cooling plants, distribution, and heat rejection systems. Requires prior data center or industrial plant commissioning experience, rigorous functional testing, trend data analysis, and design error resolution.
Lead mechanical engineering R&D for cooling, piping, and mechanical systems in modular data centers and power infrastructure. Own reference designs, enforce technical standards, review vendor packages, and grow the team while solving the hardest problems.
Own QA for capacity delivery engineering at Fluidstack, building QA programs, checklists, and acceptance criteria for data center builds. Audit vendors, close NCRs at root cause, and feed lessons back into designs for large-scale AI compute infrastructure.
Mechanical Engineer responsible for designing and modeling demand-flexible cooling systems for AI data centers, including thermal inertia modeling, field validation, and turning cooling infrastructure into a grid asset. Requires experience with dynamic thermal modeling and HVAC systems for data centers or industrial plants.
Senior Manager owning global indirect tax (VAT/GST/sales & use) for a fast-growing AI data center company. Build compliance, registrations, filings, reclaims, and advise on structuring from first principles across multiple countries.
Fire Protection Engineer responsible for designing detection, suppression, and alarm systems for AI data center modular units and plants. Owns hydraulic calculations, layouts, standardized fabrication designs, permitting, and commissioning for mission-critical facilities.
Own production equipment end-to-end from URS through SAT, vendor selection, FAT, installation, integration into controls/data systems for OEE/MES, and post-handoff uptime/cycle-time improvements. Requires hands-on experience launching automation cells, running FATs, integrating sensors/drives/logic, and completing installs with training/spares/documentation.
Own the consumables category (coolant, filters, PPE, spares) for Fluidstack's massive AI compute buildout. Set stocking strategies, negotiate national agreements, standardize SKUs, and build automated consumption-based replenishment systems across multiple data center sites.
Engineer modular data center products across structures, enclosures, and MEP systems from concept through released drawings and production support. Requires hands-on experience with complex physical products or modular construction, cross-disciplinary problem solving, and clean fabrication-ready drawings.
Own manufacturing engineering for mechanical, electrical, and controls module assembly. Build and launch assembly processes, balance lines to takt, drive ramp improvements in hours per unit and first-pass yield.
Lead the infrastructure modelling team at Fluidstack to own the source-of-truth BIM and data models for AI compute sites, systems, and equipment. Drive architecture, standards, automated model-based delivery, and grow a cross-functional BIM/software team.
Own end-to-end manufacturing launch from factory installation through first units to full rate production. Run daily war room, drive cross-functional decisions, recover at-risk ramps, and document playbooks for faster subsequent factory launches.
Lead operations representation in R&D for AI compute infrastructure. Own operability requirements, build O&M foundations, and run reviews to ensure maintainable designs for data centers and critical facilities.
Mechanical engineer owning BESS enclosure design, thermal management (validated by test), and behind-the-meter site integration for AI data center energy storage. Requires experience with power electronics or thermal-critical systems, safety codes like NFPA 855, vendor evaluation, and field deployment support.
Model and track greyspace capacity (electrical, mechanical, support space) across data center sites to ensure constraints are identified early. Build source-of-truth views, analyze trade-offs, and support design/delivery/operations teams with data center or industrial planning experience.
Tech lead setting technical direction and building core pieces of an internal platform for AI compute infrastructure, including orchestration, integrations, and shared systems. Requires experience designing platforms others depend on, high-bar code review, and daily use of AI coding tools.
Mechanical Engineer designing and productionizing robotics systems for data center automation, focusing on end effectors, docking interfaces, rapid prototyping, reliability testing, and integration with controls/software teams. Requires robotics/mechatronics hardware experience from prototype to production.
Build and maintain site-level capex, opex, and cash forecasts for AI data centers. Own monthly forecast cycles, model scenarios rapidly, and automate pipelines from source systems. Requires strong experience building infrastructure forecasts, expert Excel/SQL skills, and auditable modeling.
Build and own the facilities data pipeline for AI data center telemetry, including ingestion from industrial protocols (BACnet, Modbus, OPC UA), data quality tooling, and serving clean APIs/datasets for dashboards, controls, and ML. Requires production data pipeline experience with on-call ownership, industrial protocol integration, and full-stack debugging.
Build and own software for hardware new product introduction at Fluidstack, including test orchestration, benchmark automation, data pipelines, and lab-to-fleet validation tooling. Requires experience with hardware test/lab software, turning manual workflows into pipelines, and production Python/Go.
Build and maintain coordinated BIM models (mechanical, electrical, structural) for data center projects. Run clash detection and resolution, automate modeling with scripts and templates, and produce model-derived drawings and schedules. Requires BIM production experience on complex industrial projects plus scripting skills.
Own and engineer industrial paint line and surface treatment processes (pretreatment, coating, cure) for data center hardware at production scale. Ensure quality, adhesion, compliance, and root-cause problem solving for liquid/powder coatings.
Lead a small high-velocity engineering team building internal operational software and tools for AI compute infrastructure buildout. Stay hands-on coding while owning priorities, delivery, engineer growth, hiring, and cross-functional product decisions.
Build and own daily production schedules in a high-velocity manufacturing environment for AI compute infrastructure. Maintain accurate MRP data, replan rapidly around constraints and shortages, coordinate with supply chain, and drive schedule adherence.
Engineer virtualized PLC platform for data center controls, porting industrial control logic to software-defined infrastructure while preserving determinism, safety, and real-time performance. Requires professional PLC programming experience and knowledge of virtualization for controls.
Own robotic weld cells for structural steel in AI data center production. Develop GMAW programs, commission cells, solve distortion/penetration issues, and drive first-pass yield using production data and WPS discipline.
Build and ship software that automates data center commissioning, including test orchestration, data capture, pass-fail analysis, and live reporting by integrating with BMS, EPMS, and test equipment. Requires experience building test automation or orchestration systems for hardware/infrastructure and replacing manual processes with trusted software.
Design and own production tooling and fixtures (weld fixtures, assembly jigs, lifting tools) from concept through validation, lifecycle management, and operator-focused design for high-volume fabrication/assembly. Requires proven experience designing fixtures that hold tolerance at rate using proper stack-ups and capability studies.
Counsel responsible for drafting, reviewing, and negotiating commercial contracts (customer, supplier, NDAs) end-to-end. Provides direct business advice, builds self-serve templates, and prioritizes speed in high-velocity AI infrastructure company. Requires independent deal experience and active law license.
Own global sourcing and supplier negotiations for manufacturing facilities equipment, fit-out, and services to support rapid production ramps. Requires proven experience sourcing capital equipment at scale, building supplier redundancy, and negotiating from should-cost models.
Design, produce build packages for, integrate, and support deployment of physical security systems (access control, video, intrusion, perimeter) for AI data centers. Requires hands-on experience engineering these systems for critical facilities and coordinating with electrical/IT teams.
Own the fiber and optics supply chain category for massive AI data center builds. Negotiate high-volume agreements, dual-source transceivers, qualify components, and forecast demand to keep procurement off the critical path.
Execute hardware qualification programs for AI compute infrastructure, owning test benches, logging and triaging failures, and maintaining labs with server-class hardware. Requires hands-on hardware test/validation/lab experience, precise test execution, and organized failure documentation.
Qualify and benchmark next-generation GPU and server hardware for AI compute infrastructure. Hands-on validation, stress testing, root-causing failures, and documenting fleet standards for large-scale data center deployment.
Technical lead owning network architecture, standards, design reviews, and cross-domain escalations for large-scale AI compute infrastructure. Requires senior authority on very large network estates and fabric-scale decisions.
Security Engineer securing frontier AI compute infrastructure. Own cloud/bare-metal control plane security, build guardrails as code, engineer detection/response, and secure multi-tenant boundaries for high-value training workloads.
Design material flow and intralogistics systems for heavy manufacturing of AI data center modules, including cranes, AGVs, conveyance, layouts, throughput modeling, and dock-to-line replenishment to eliminate unnecessary handling touches.
Lead financial forecasting for datacenter capex, opex, and cash flows. Build models and run scenario analysis to guide site sequencing, deals, and capital raises at a high-velocity AI infrastructure company. Requires leadership experience in capital-intensive infrastructure forecasting with strong actuals reconciliation.
Run end-to-end multi-state payroll for a rapidly scaling 24/7 data center workforce, owning close processes, reconciliations, new state setups, and automation of inputs from time data through equity events.
Lead fire protection engineering (detection, suppression, life safety) for Fluidstack's modular data centers and behind-the-meter power plants. Own reference designs, drive AHJ approvals for novel systems, and set standards as the AI compute infrastructure portfolio scales. Requires prior leadership in mission-critical or energy facility fire protection and deep NFPA code expertise.
Lead BMS controls engineering for AI data center fleet. Own standards for sequences, points lists, network architecture; drive vendor strategy and team growth. Requires prior leadership of BMS/controls for data centers or large plants, with experience standardizing across portfolios.
Build and ship production software for data center robotics including task planning, fleet coordination, autonomy behaviors, and operational tooling with remote monitoring and diagnostics. Requires experience shipping robot/autonomous systems software with ROS on real hardware, plus strong integration and remote failure engineering skills.
Own the mechanical equipment category (CDUs, chillers, pumps, dry coolers) for Fluidstack's liquid-cooled data centers. Negotiate multi-year supply agreements with OEMs, dual-source platforms, qualify second sources, and coordinate with design/manufacturing to keep procurement off the critical path for massive AI compute buildout.
Secure Fluidstack's corporate environment end-to-end including identity, endpoints, SaaS, email, and zero-trust access for a rapidly growing workforce. Build detections, automate controls as code, and respond to incidents protecting frontier AI infrastructure.
Mechanical Engineer designing and owning end-to-end cooling systems (hydraulics, heat transfer, piping, heat rejection) for modular AI data centers. Requires hands-on experience with data center or industrial HVAC/mechanical systems, independent calculations, equipment specification/integration, and design validation against test data.
Build and own production data pipelines, knowledge graph data models, and structured datasets from messy sources (PDFs, spreadsheets, telemetry) to power internal tools, dashboards, and ML models at a frontier AI compute infrastructure company. Requires experience operating depended-on pipelines, schema modeling, data quality engineering, and unstructured data extraction.
Technical leader owning compute qualification, first-silicon and new-platform validation, test automation, and root-cause failure analysis for AI compute infrastructure. Requires senior hardware validation or systems engineering experience with early hardware qualification and automation ownership.
Design and defend network security architecture for AI compute infrastructure at gigawatt scale, including segmentation, detection, and OT hardening across data centers, corp, and cloud. Requires experience securing large production networks with IT/OT mix, packet analysis, IaC for security controls, and real intrusion detection.
Lead commissioning of BMS, EPMS, and automation controls for first-of-kind data center units at Fluidstack. Verify sequences, execute and improve test scripts, analyze trends, and support factory FAT processes for AI compute infrastructure.
Lead the design, architecture, and implementation of a large-scale facilities telemetry platform for AI data centers, ingesting sensor data from industrial protocols into queryable time-series systems while setting data standards and leading a small team.
Lead mechanical commissioning for AI data center cooling plants, distribution, and heat rejection systems. Requires prior data center or industrial plant commissioning experience, rigorous functional testing, trend data analysis, and design error resolution.