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FluidStack

Material Handling & Intralogistics Engineer

Austin, TX$203k–$232kfulltimemidAdded today

About this role

Fluidstack is seeking a Material Handling & Intralogistics Engineer to design and optimize the flow of heavy parts through their data center manufacturing operations in Austin, TX. You'll engineer material handling systems, plant layouts, and control logic while driving continuous improvement through data analysis and lean principles.

What you'll do

  • Design material flow systems from raw material receipt through module shipment using cranes, conveyors, AGVs, and staging areas
  • Engineer intralogistics systems including facility layouts, equipment specifications, and control logic for safe heavy part movement
  • Develop and manage dock-to-line replenishment strategies including kitting and station presentation
  • Measure and eliminate unnecessary material moves through data-driven analysis and optimization
  • Specify and commission handling equipment with safety as a core requirement
  • Monitor daily operations and implement fixes based on performance data

What they're looking for

  • Material handling systems design (cranes, AGVs, conveyors, tuggers)
  • Plant layout and factory flow design
  • Throughput and buffer capacity calculations
  • Heavy and oversize part handling
  • Equipment specification and commissioning
  • Simulation tools (FlexSim, Plant Simulation)
  • Warehouse Management Systems (WMS) and Warehouse Execution Systems (WES)
  • Lean material flow principles
Apply on the employer's site

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FluidStack

FluidStack builds AI infrastructure at scale, developing data centers and warehouse operations designed to handle gigawatt-capacity compute deployment. The company is hiring for warehouse engineers, data center operations specialists, product engineers, and people leaders to support rapid infrastructure expansion across multiple sites.

View all jobs at FluidStack

Likely interview questions

  • Walk us through a material handling system you designed from scratch—what were the key constraints and how did you optimize for throughput?
  • How do you approach balancing safety requirements with efficiency in heavy equipment specifications?