Manufacturing Engineer, Line Design & Takt

FluidStack
Austin, New York, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 203,000 - 232,000 annuallyFunction: Industrial, Process & Manufacturing EngineeringSkills: ["Data-driven decision-making","First-principles thinking"]

Design and optimize AI manufacturing production lines, including layouts, station counts, and takt calculations for module fabrication and assembly. Build and validate capacity and bottleneck models, engineer ramp plans from first unit to rate, and redesign as the product evolves without rebuilding the factory. Partner with operations-minded teams to ensure operator-friendly ergonomics and use data-driven decisions to improve throughput.

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FluidStack
FluidStack
1 month ago

Manufacturing Engineer, Line Design & Takt

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Last checked: 10 hours agoStatus: Live

Job Summary

Design and optimize AI manufacturing production lines, including layouts, station counts, and takt calculations for module fabrication and assembly. Build and validate capacity and bottleneck models, engineer ramp plans from first unit to rate, and redesign as the product evolves without rebuilding the factory. Partner with operations-minded teams to ensure operator-friendly ergonomics and use data-driven decisions to improve throughput.
Location: Austin, New York, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Industrial, Process & Manufacturing Engineering

Key Responsibilities

  • •Design production line layouts, station counts, and takt math for module fabrication and assembly.
  • •Model capacity to identify bottlenecks, buffers, and the real output curve under variation.
  • •Engineer ramp plans to move each line from first unit to rate within named constraints.
  • •Redesign line configurations as the product evolves without rebuilding the factory.
  • •Ensure operator-focused design, including ergonomics, presentation, and flow.

Pay and Benefits

Salary: USD 203,000 - 232,000 annually

Key Requirements

  • •Designed manufacturing lines or major line extensions that were built.
  • •Built takt and capacity models that matched reality within noise.
  • •Used simulation or rigorous math to identify bottlenecks before they occur.
  • •Designed for operators with ergonomics, presentation, and flow in mind.
  • •Used data to defend and iterate on layout decisions as performance changes.
Experience:ManufacturingIndustrial engineering
Skills:Data-driven decision-makingFirst-principles thinking
Tech Stack:SimulationDiscrete event simulation

Company Brief

FluidStack
Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.
Industry: Cloud Computing
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: New York, United States
Founded: 2017
Glassdoor
Glassdoor: 4.7
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