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FluidStack

Automation & Equipment Engineer

Austin, TX$203k–$232kfulltimemidAdded today

About this role

Fluidstack seeks an Automation & Equipment Engineer to design, specify, and deploy production automation cells and equipment for large-scale AI data center infrastructure. You'll own the complete lifecycle from requirements through production handoff, ensuring seamless integration with control systems and continuous uptime optimization.

What you'll do

  • Specify, select vendors for, and procure automation equipment and production cells
  • Conduct factory acceptance testing (FAT) and oversee installation and commissioning (SAT)
  • Integrate equipment into control systems and data pipelines for OEE and cycle-time tracking
  • Own equipment performance and uptime metrics post-handoff to production operations
  • Provide comprehensive training, documentation, and spare parts strategy at project completion
  • Troubleshoot sensors, drives, and control logic at equipment level

What they're looking for

  • Production equipment specification and vendor management
  • Factory acceptance testing (FAT) and site acceptance testing (SAT)
  • PLC programming and machine controls
  • Robotics integration and automation design
  • Machine safety standards and compliance
  • OEE and MES system integration
  • CMMS and preventive maintenance planning
  • Hands-on troubleshooting of mechanical and electrical systems
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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 production automation project you specified end-to-end—what was your role from URS through SAT and why did it matter?
  • Tell us about a time you ran a FAT that caught a critical issue before equipment shipped. How did you identify it and what was the impact?