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.
Structural Engineer responsible for designing modular steel structures, equipment supports, and buildings for rapid AI data center fabrication and erection, owning calculations, drawings, and standardization for shipping, lifting, and permitting.
Own and optimize CNC/structural steel processing operations including programming beam lines, plate processors, nesting for yield, equipment commissioning, tooling, and preventive maintenance to maintain takt and uptime in heavy fabrication for AI data centers.
Engineer and own the full robot control stack for data center robotics, including motion controls, functional safety architecture, fleet integration, and on-site commissioning to achieve high availability targets. Requires production experience with robotic controls, safety systems, and cross-domain debugging.
Own public affairs and community relations for Fluidstack's data center and power infrastructure projects. Build local support through town halls and coalitions, manage media and opposition responses, and partner with internal teams to align external messaging with project realities.
Own sourcing for networking hardware (switches, routers, DPUs) at massive scale for AI compute clusters. Negotiate OEM agreements on price/lead time/roadmaps, dual-source platforms, align with engineering, and manage transitions without inventory issues.
Electrical Engineer designing and integrating behind-the-meter power generation, storage, and microgrid systems for AI data centers. Requires experience with generator interconnections, islanded operation, stability/protection studies, and plant commissioning.
Design and standardize high-voltage substation layouts, equipment specs, and interfaces for large-scale AI data center campuses. Own physical/electrical designs through utility review, construction support, and productization for rapid multi-site deployment.
Controls Engineer responsible for designing, programming, integrating, and commissioning BMS controls for data center mechanical and electrical systems, including sequences, logic, and third-party equipment integration using protocols like BACnet and Modbus. Requires hands-on BMS experience in large facilities, writing sequences, and commissioning work.
Supply Chain Buyer responsible for executing purchases, managing order books, resolving vendor issues, and maintaining ERP data accuracy to support rapid data center buildout for AI compute infrastructure. Requires experience as a buyer in fast-moving supply chains, heavy PO management, expediting, and strong ERP hygiene.
Electrical Engineer responsible for designing, setting, and commissioning protection and controls schemes for high-power campus infrastructure supporting AI compute. Requires hands-on experience with MV/HV relay coordination, SEL platforms, field commissioning, and event analysis.
Own end-to-end revenue accounting for complex compute and colocation contracts under ASC 606, from pre-signature contract review through monthly close, billing, deferrals, recognition, and NetSuite automation at a fast-growing AI compute infrastructure company.
Own end-to-end supplier integration, performance management, and system connectivity to synchronize supplier capacity, quality, and delivery with manufacturing build plans. Requires prior experience managing supplier launches, recovering failing suppliers, and connecting processes to ERP/MRP systems.
Lead the TPM function for R&D at Fluidstack, running portfolios of hardware and infrastructure programs across mechanical, electrical, controls and modelling workstreams. Own executive reporting, build the TPM team, and drive programs from modular designs to scheduled build reality. Requires prior leadership of hardware/infrastructure TPM teams and portfolio management experience.
Lead the architecture and implementation of facilities software automation for physical plant control, from telemetry to actuation with built-in safety. Own closed-loop control, simulation, rollout across sites, and set engineering standards while continuing to write critical code. Requires prior leadership of physical systems automation teams.
Coordinate tenant improvement construction, track against production ramp, manage punch/turnover and construction paperwork (RFIs, submittals, change orders) for AI data center factories. Requires commercial/industrial construction coordination experience from owner/GC side and managing TI in operating facilities.
Own compute and storage sourcing (GPU servers, storage systems, node components) from supplier strategy through delivery for massive AI data center buildout. Negotiate pricing/lead times/capacity with OEMs/ODMs, dual-source critical configs, and manage supplier performance tied to forward pipeline.
Manage end-to-end CDU deployment for large-scale data center construction, including scheduling, rigging, contractor coordination, and standardization of installation procedures for liquid cooling systems.
Own the structural steel category for Fluidstack's massive AI compute buildout. Source and qualify fabricators at industrial scale, negotiate commodity-resistant pricing, balance capacity across shops, and manage hedging to keep modular data center construction off the critical path.
Build and own ML/LLM systems for internal operations including forecasting, risk flagging, and document extraction. Ship production agentic systems end-to-end with guardrails and partner with data engineering to integrate predictions into tools.
Own BOMs and build estimating engines for modular data center designs at Fluidstack. Manage complete, structured, costed BOMs from concept to release while reconciling designs, automating takeoffs, and feeding accurate data to procurement and finance.
Own end-to-end sourcing and supplier qualification for mechanical categories (steel, fabrications, cooling components) to support massive AI data center manufacturing scale-up. Requires deep manufacturer-side sourcing experience, ability to read drawings/specs, secure capacity, and negotiate long-term agreements.
Own and build the quality management system (QMS) for a heavy manufacturing factory producing AI compute infrastructure. Lead inspectors, drive root cause corrective actions, ensure first-pass yield, and gate shipments while embedding quality practices in production teams.
Lead the commissioning of electrical systems (distribution, protection, power quality) for first-of-kind AI data center units. Execute, analyze, and improve functional/integrated tests, reconcile data against studies, and support factory FAT processes. Requires prior electrical commissioning experience on data centers, substations or industrial plants.
Design and engineer electrical distribution systems for AI data centers from medium voltage to the rack. Run power studies in ETAP/SKM, develop equipment specifications, and support field builds and energization.
Build and integrate software for the SCADA stack at data centers powering frontier AI compute, including services, EPMS integrations, historians, alarms, and repeatable deployment tooling. Requires experience with industrial control systems, OPC UA, and production-grade software for mission-critical environments.
Lead robotics deployment projects into live data center and factory sites, coordinating vendors, integrators, and teams from pilot through scale-up while owning the deployment playbook, safety, commissioning, and post-go-live performance tracking.
Lead automation systems for AI compute manufacturing lines from concept to rate production. Own architecture, integrator selection, safety design, commissioning, and OEE at the system level. Requires hands-on experience with PLCs, HMIs, and high-pressure debugging.
Engineer automated commissioning for data center control systems by embedding test sequences into BMS/PLC logic, building test libraries, executing on live sites, analyzing failures, and driving upstream design fixes. Requires hands-on commissioning experience writing test procedures for building/data center controls.
Develop and qualify suppliers for AI data center manufacturing through hands-on process audits, PPAP approvals, root cause quality fixes, and capacity building at supplier sites. Requires proven manufacturing supplier development experience with rigorous on-site problem solving.
Build software services, APIs, and generative tooling for programmable infrastructure modeling in CAD/BIM platforms. Requires experience with engineering design data, automation replacing manual work, geometric/graph data, and production code integrating vendor APIs.
The Workplace Site Coordinator supports daily operations at a data center construction site, managing office supplies, vendor services, visitor reception, onboarding, PPE distribution, and workplace readiness to ensure a safe, organized, and efficient environment. Requires 2-4 years of experience in operations, construction support, or facilities coordination, plus strong organizational and interpersonal skills.
Own reliability engineering for AI data center reference designs. Build RAM models, run cross-discipline FMEAs, analyze field failures, and drive design changes for high-availability infrastructure.
Model and reconcile IT/hardware capacity needs across data center sites, building automated views for planning and procurement while chasing discrepancies in orders, inventory, and lead times.
Own capital equipment programs from specification and procurement through installation, FAT/SAT testing, and handover to operations for AI data center factories. Requires proven experience delivering manufacturing equipment projects end-to-end with tight specs and vendor accountability.
Design and engineer mechanical utilities including fuel gas, water, compressed air, and balance-of-plant systems for behind-the-meter power generation plants supporting AI compute infrastructure. Requires experience with utility systems for power generation or heavy industry, fuel gas design, and EPC package review.
Drive technical programs for production engineering fleet including tooling rollouts, reliability, and cross-site standards. Own escalations from root cause through corrective actions, coordinate between engineering and operations teams, and deliver leadership reporting.
Lead commissioning for first-of-a-kind modular data centers and behind-the-meter power plants at Fluidstack. Develop strategies, run initial Level 5 tests, author reference packages, and drive design improvements from findings for rapid AI compute infrastructure deployment.
Build and deploy demand management control strategies that flex gigawatts of data center load in response to grid signals and prices while coordinating IT, cooling, and generation assets without violating SLAs. Requires prior experience engineering controls for energy systems such as demand response or microgrids, power systems knowledge, utility/market integration, and simulation-first validation.
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.
Structural Engineer responsible for designing modular steel structures, equipment supports, and buildings for rapid AI data center fabrication and erection, owning calculations, drawings, and standardization for shipping, lifting, and permitting.
Own and optimize CNC/structural steel processing operations including programming beam lines, plate processors, nesting for yield, equipment commissioning, tooling, and preventive maintenance to maintain takt and uptime in heavy fabrication for AI data centers.
Engineer and own the full robot control stack for data center robotics, including motion controls, functional safety architecture, fleet integration, and on-site commissioning to achieve high availability targets. Requires production experience with robotic controls, safety systems, and cross-domain debugging.
Own public affairs and community relations for Fluidstack's data center and power infrastructure projects. Build local support through town halls and coalitions, manage media and opposition responses, and partner with internal teams to align external messaging with project realities.
Own sourcing for networking hardware (switches, routers, DPUs) at massive scale for AI compute clusters. Negotiate OEM agreements on price/lead time/roadmaps, dual-source platforms, align with engineering, and manage transitions without inventory issues.
Electrical Engineer designing and integrating behind-the-meter power generation, storage, and microgrid systems for AI data centers. Requires experience with generator interconnections, islanded operation, stability/protection studies, and plant commissioning.
Design and standardize high-voltage substation layouts, equipment specs, and interfaces for large-scale AI data center campuses. Own physical/electrical designs through utility review, construction support, and productization for rapid multi-site deployment.
Controls Engineer responsible for designing, programming, integrating, and commissioning BMS controls for data center mechanical and electrical systems, including sequences, logic, and third-party equipment integration using protocols like BACnet and Modbus. Requires hands-on BMS experience in large facilities, writing sequences, and commissioning work.
Supply Chain Buyer responsible for executing purchases, managing order books, resolving vendor issues, and maintaining ERP data accuracy to support rapid data center buildout for AI compute infrastructure. Requires experience as a buyer in fast-moving supply chains, heavy PO management, expediting, and strong ERP hygiene.
Electrical Engineer responsible for designing, setting, and commissioning protection and controls schemes for high-power campus infrastructure supporting AI compute. Requires hands-on experience with MV/HV relay coordination, SEL platforms, field commissioning, and event analysis.
Own end-to-end revenue accounting for complex compute and colocation contracts under ASC 606, from pre-signature contract review through monthly close, billing, deferrals, recognition, and NetSuite automation at a fast-growing AI compute infrastructure company.
Own end-to-end supplier integration, performance management, and system connectivity to synchronize supplier capacity, quality, and delivery with manufacturing build plans. Requires prior experience managing supplier launches, recovering failing suppliers, and connecting processes to ERP/MRP systems.
Lead the TPM function for R&D at Fluidstack, running portfolios of hardware and infrastructure programs across mechanical, electrical, controls and modelling workstreams. Own executive reporting, build the TPM team, and drive programs from modular designs to scheduled build reality. Requires prior leadership of hardware/infrastructure TPM teams and portfolio management experience.
Lead the architecture and implementation of facilities software automation for physical plant control, from telemetry to actuation with built-in safety. Own closed-loop control, simulation, rollout across sites, and set engineering standards while continuing to write critical code. Requires prior leadership of physical systems automation teams.
Coordinate tenant improvement construction, track against production ramp, manage punch/turnover and construction paperwork (RFIs, submittals, change orders) for AI data center factories. Requires commercial/industrial construction coordination experience from owner/GC side and managing TI in operating facilities.
Own compute and storage sourcing (GPU servers, storage systems, node components) from supplier strategy through delivery for massive AI data center buildout. Negotiate pricing/lead times/capacity with OEMs/ODMs, dual-source critical configs, and manage supplier performance tied to forward pipeline.
Manage end-to-end CDU deployment for large-scale data center construction, including scheduling, rigging, contractor coordination, and standardization of installation procedures for liquid cooling systems.
Own the structural steel category for Fluidstack's massive AI compute buildout. Source and qualify fabricators at industrial scale, negotiate commodity-resistant pricing, balance capacity across shops, and manage hedging to keep modular data center construction off the critical path.
Build and own ML/LLM systems for internal operations including forecasting, risk flagging, and document extraction. Ship production agentic systems end-to-end with guardrails and partner with data engineering to integrate predictions into tools.
Own BOMs and build estimating engines for modular data center designs at Fluidstack. Manage complete, structured, costed BOMs from concept to release while reconciling designs, automating takeoffs, and feeding accurate data to procurement and finance.
Own end-to-end sourcing and supplier qualification for mechanical categories (steel, fabrications, cooling components) to support massive AI data center manufacturing scale-up. Requires deep manufacturer-side sourcing experience, ability to read drawings/specs, secure capacity, and negotiate long-term agreements.
Own and build the quality management system (QMS) for a heavy manufacturing factory producing AI compute infrastructure. Lead inspectors, drive root cause corrective actions, ensure first-pass yield, and gate shipments while embedding quality practices in production teams.
Lead the commissioning of electrical systems (distribution, protection, power quality) for first-of-kind AI data center units. Execute, analyze, and improve functional/integrated tests, reconcile data against studies, and support factory FAT processes. Requires prior electrical commissioning experience on data centers, substations or industrial plants.
Design and engineer electrical distribution systems for AI data centers from medium voltage to the rack. Run power studies in ETAP/SKM, develop equipment specifications, and support field builds and energization.
Build and integrate software for the SCADA stack at data centers powering frontier AI compute, including services, EPMS integrations, historians, alarms, and repeatable deployment tooling. Requires experience with industrial control systems, OPC UA, and production-grade software for mission-critical environments.
Lead robotics deployment projects into live data center and factory sites, coordinating vendors, integrators, and teams from pilot through scale-up while owning the deployment playbook, safety, commissioning, and post-go-live performance tracking.
Lead automation systems for AI compute manufacturing lines from concept to rate production. Own architecture, integrator selection, safety design, commissioning, and OEE at the system level. Requires hands-on experience with PLCs, HMIs, and high-pressure debugging.
Engineer automated commissioning for data center control systems by embedding test sequences into BMS/PLC logic, building test libraries, executing on live sites, analyzing failures, and driving upstream design fixes. Requires hands-on commissioning experience writing test procedures for building/data center controls.
Develop and qualify suppliers for AI data center manufacturing through hands-on process audits, PPAP approvals, root cause quality fixes, and capacity building at supplier sites. Requires proven manufacturing supplier development experience with rigorous on-site problem solving.
Build software services, APIs, and generative tooling for programmable infrastructure modeling in CAD/BIM platforms. Requires experience with engineering design data, automation replacing manual work, geometric/graph data, and production code integrating vendor APIs.
The Workplace Site Coordinator supports daily operations at a data center construction site, managing office supplies, vendor services, visitor reception, onboarding, PPE distribution, and workplace readiness to ensure a safe, organized, and efficient environment. Requires 2-4 years of experience in operations, construction support, or facilities coordination, plus strong organizational and interpersonal skills.
Own reliability engineering for AI data center reference designs. Build RAM models, run cross-discipline FMEAs, analyze field failures, and drive design changes for high-availability infrastructure.
Model and reconcile IT/hardware capacity needs across data center sites, building automated views for planning and procurement while chasing discrepancies in orders, inventory, and lead times.
Own capital equipment programs from specification and procurement through installation, FAT/SAT testing, and handover to operations for AI data center factories. Requires proven experience delivering manufacturing equipment projects end-to-end with tight specs and vendor accountability.
Design and engineer mechanical utilities including fuel gas, water, compressed air, and balance-of-plant systems for behind-the-meter power generation plants supporting AI compute infrastructure. Requires experience with utility systems for power generation or heavy industry, fuel gas design, and EPC package review.
Drive technical programs for production engineering fleet including tooling rollouts, reliability, and cross-site standards. Own escalations from root cause through corrective actions, coordinate between engineering and operations teams, and deliver leadership reporting.
Lead commissioning for first-of-a-kind modular data centers and behind-the-meter power plants at Fluidstack. Develop strategies, run initial Level 5 tests, author reference packages, and drive design improvements from findings for rapid AI compute infrastructure deployment.
Build and deploy demand management control strategies that flex gigawatts of data center load in response to grid signals and prices while coordinating IT, cooling, and generation assets without violating SLAs. Requires prior experience engineering controls for energy systems such as demand response or microgrids, power systems knowledge, utility/market integration, and simulation-first validation.