Manufacturing Quality Engineer BotQ
Figure is an AI robotics company developing general-purpose humanoid robots, embodied AI, and data-collection services for home and commercial use.
Funding history
About Figure
Figure develops the Figure 03 humanoid robot and Helix, its vision-language-action AI system, to autonomously perform household and commercial tasks. It also operates Index, a contributor network and app for collecting real-world task data.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own quality for assigned assembly lines and define production controls, inspections, and data capture. You will support new-product builds, lead failure analysis and corrective actions, manage return-resolution work, contribute to the quality management system, and mentor quality personnel.
Requirements
- Have 7+ years of quality engineering experience in high-volume electromechanical manufacturing
- Hold a bachelor's degree in a relevant engineering discipline
- Have hands-on experience authoring PFMEAs and control plans from NPI into production
- Demonstrate structured problem-solving experience using 8D, 5-Why, fishbone analysis, and corrective action processes
- Know GD&T and interpret complex technical drawings
- Perform statistical analysis and SPC using tools such as JMP or Minitab
- Build dashboards from inspection and test data
- Have experience with robotic systems, automation, or complex electromechanical assemblies
- Work directly on the production floor with operators, manufacturing engineering, and design teams
Responsibilities
- Own quality on assigned in-house assembly lines
- Define control plans and in-process and end-of-line quality checks
- Drive automated inspection and data capture for mass production
- Monitor first-pass yield and defect Paretos and apply SPC
- Lead daily quality response and manufacturing line audits
- Review process flows and author and maintain PFMEAs and control plans
- Translate DFMEA severity and safety classifications into process controls
- Define quality line-readiness criteria and sign off prototype-build readiness
- Own failure analysis on field returns and remanufactured units
- Use 8D, 5-Why, and fishbone analysis to identify root causes
- Drive corrective actions from field data to production and design
- Drive the DOA and return-resolution process
- Contribute to the manufacturing quality management system
- Partner with Supplier Quality on incoming inspection and supplier corrective actions
- Mentor quality engineers and technicians