Manufacturing Quality Engineer BotQ

Figure AI; San Jose (CA); On-site; USD 150,000 - 250,000; Full time

Job summary

Figure AI, a San Jose-based AI robotics company, seeks a senior Quality Engineer to own quality on high-volume electromechanical assembly lines, drive PFMEA and control plans, and lead the implementation of SPC and automated inspection. You will partner with Manufacturing, Design, and suppliers to ensure first-pass yield and robust processes from NPI through production.

You will mentor quality engineers, translate DFMEA severity into actionable controls, conduct line audits, and own field

Qualifications

• 7+ years of experience in quality engineering in high-volume electromechanical manufacturing.
• Bachelor’s degree in Mechanical, Electrical, Manufacturing, Mechatronics Engineering, or related field.
• Hands-on experience authoring PFMEAs and control plans, carrying them from NPI into production.
• Structured problem solving with 8D, 5-Why, fishbone analysis, and formal corrective action processes.
• GD&T knowledge and ability to interpret complex technical drawings.
• Statistical analysis and SPC using JMP or Minitab, and ability to build dashboards from inspection/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.

Responsibilities

• Own quality on assigned in-house assembly lines and drive automated inspection and data capture.
• Define control plans, in-process and end-of-line quality checks, and ensure readiness for mass production.
• Monitor first-pass yield and defect Pareto charts; lead daily quality responses on the line.
• Lead manufacturing line audits across process, tooling, gauges, and training.
• Act as the quality voice on next-generation robot builds; review flows and maintain PFMEAs.
• Translate DFMEA severity into process controls and feed design gaps back to the design Teams.
• Define line-readiness criteria for prototypes through production start.
• Own field failure analysis on field returns and remanufactured units; close loop with production and design.
• Contribute to building manufacturing quality management system; audits, CAPA, deviation handling, equipment qualification.
• Partner with Supplier Quality on incoming inspection and supplier corrective actions.
• Mentor quality engineers and technicians; raise standards of structured problem solving.

Skills

Quality engineering

Electromechanical

PFMEA & control plans

8D & 5-Why

GD&T

Statistical analysis (SPC)

Robotics experience

Production floor experience

Education

Bachelors in Mechanical/Electrical/Mechatronics

Tools

JMP

Minitab

CMM / Vision systems

CATIA V6

Job description

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.