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1X

Manufacturing Process Engineer, Hands

San Carlos, CA$148k–$181kfulltimemidAdded today

About this role

1X is hiring a Manufacturing Process Engineer to develop and scale production processes for advanced humanoid robotic hands. You'll own assembly, test, and qualification methods from prototype through high-volume production, driving yield, quality, and cost improvements on hardware that doesn't yet have established manufacturing playbooks.

What you'll do

  • Develop and qualify assembly, test, and fixture processes using DOE, MSA/GR&R, and capability studies
  • Prototype manufacturing methods directly on the production floor and convert proven approaches into documented, controlled systems
  • Improve first-pass yield, process capability, cycle time, OEE, and cost while reducing variation and scrap
  • Drive defects and process excursions to root cause and implement durable corrective actions
  • Influence product design through DFM, DFA, DFT, tolerance analysis, and mistake-proofing
  • Manage production transfer, process changes, and sustaining engineering through production ramp

What they're looking for

  • DOE, SPC, MSA/GR&R, and statistical quality analysis
  • Process capability and yield optimization
  • DFM/DFA/DFT and tolerance analysis
  • Complex assembly process development for electromechanical products
  • Structured root cause analysis and problem solving
  • Automated assembly and precision manufacturing methods
  • Production floor hands-on troubleshooting
  • Data-driven manufacturing improvement and OEE optimization
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1X

1X builds humanoid robots for home use, with its NEO robot requiring sophisticated hardware, firmware, and cloud systems. The company is hiring across compliance testing, audio systems, embedded firmware, cloud platform development, and supplier engineering to bring its robots to production and scale.

View all jobs at 1X

Likely interview questions

  • Walk us through a complex assembly process you developed from prototype to production—what were the biggest challenges and how did you solve them?
  • Describe a time you used DOE or capability studies to resolve a critical process yield issue. What was your approach and what was the outcome?
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