FluidstackAustin, TXQualify 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.
The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
Bonus: NVIDIA or AMD accelerator platforms. BMC and firmware depth. Thermal and power characterization. Linux systems depth.
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.
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 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.
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.
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.