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Open nowPosted 3 days ago

Manufacturing Quality Engineer BotQ

Figure AI104 open roles

Where
San Jose, CA
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Your applicationOpen nowManufacturing Quality Engineer BotQFigure AI · San Jose, CA

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Figure AI postings stay open a median of 52 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 3 days ago

Figure AI median: 52 days open

The posting

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

Responsibilities:

Production quality

  • Own quality on assigned in-house assembly lines, such as battery pack assembly and final robot assembly.
  • Define control plans, in-process and end-of-line quality checks, and drive them toward automated inspection and data capture by the start of mass production.
  • Monitor first-pass yield and defect Paretos, apply SPC where it adds control, and lead the daily quality response on the line.
  • Lead manufacturing line audits covering process, specifications, tooling and gauges, data recording, and operator training.

New product introduction

  • Act as the quality voice on next-generation robot builds: review process flows with Manufacturing Engineering, and author and maintain PFMEAs and control plans ahead of each build phase.
  • Translate DFMEA severity and safety-critical classifications into process controls, and feed design gaps back to the design teams.
  • Define quality line-readiness criteria and sign off readiness for prototype builds through start of production.

Field failures and remanufacturing

  • Own failure analysis on field returns and remanufactured units: structured failure coding, teardown, and root cause using 8D, 5-Why, and fishbone analysis.
  • Close the loop from field data to production and design corrective actions.
  • Drive the DOA and return resolution process together with the remanufacturing and commercial teams.

Quality system and team

  • Contribute to building out the manufacturing quality management system: internal audit, corrective and preventive action, deviation handling, equipment qualification, and training standards.
  • Partner with Supplier Quality on incoming inspection and supplier corrective actions for components used on the lines.
  • Mentor quality engineers and technicians, and raise the standard of structured problem solving across Production, Manufacturing, and Quality.

Requirements:

  • 7+ years of experience in quality engineering in high-volume electromechanical manufacturing (automotive, consumer electronics, robotics, or similar).
  • Bachelor’s degree in Mechanical, Electrical, Manufacturing, Mechatronics Engineering, or a related technical field.
  • Hands-on experience authoring PFMEAs and control plans and carrying them from NPI into production.
  • Structured problem-solving experience with 8D, 5-Why, fishbone analysis, and formal corrective action processes.
  • GD&T knowledge and the ability to interpret complex technical drawings.
  • Statistical analysis and SPC using tools such as JMP or Minitab, and the ability to build dashboards from inspection and test data.
  • Experience with robotic systems, automation, or complex electromechanical assemblies.
  • Track record of working on the production floor directly with operators, manufacturing engineering, and design teams.

Bonus Qualifications:

  • Battery pack, actuator, or drivetrain assembly experience.
  • Field failure analysis, warranty, or remanufacturing quality experience.
  • Knowledge of ISO 9001 or IATF 16949 standards.
  • Six Sigma Green Belt or Black Belt certification.
  • Hands-on experience with automated inspection systems (CMM, vision systems).
  • Experience building a quality management system from the ground up.
  • CATIA V6 experience.

The US base salary range for this full-time position is $150,000 to $250,000 per year.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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