Manufacturing Quality Engineer BotQ
Figure AI · San Jose, CA
- Level
- Engineer
- Team
- Quality
- Base pay
- $150k–$250k
- Degree
- Required
- Experience asked
- 7+ years
- Certification
- Black Belt preferred
- Industry
- Industrial
- Posted
- Today
The role in 30 seconds
An engineer-level quality role at Figure AI (industrial) in San Jose, CA.
- They ask for
- 7+ years · degree required · Black Belt preferred
- Tools it names
- Six Sigma, Black Belt, Green Belt, Root cause, SPC, FMEA
- Base pay
- $150k–$250k
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At a glance
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How to get in at this plant
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- 1
Pick 2–3 people on the Quality team at Figure AI
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- 2
Send a short, curious note
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Questions worth asking about this team:
- What does a normal week look like on your team?
- Which standards drive the work here: ISO 13485, IATF 16949, AS9100?
- How much of the job is customer complaints versus prevention?
- The posting mentions a Black Belt. Does the company sponsor certification?
- How did you land the job? What stood out in your interviews?
- 4
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- 5
Bring proof to the interview
One page of before-and-after numbers from projects you led: scrap, OEE, cycle time, cost. Plant managers hire on results.
About the role
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 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.
Show full description ↓Show less ↑
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.
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.