Posted today
Pay
USD 150,000–250,000 a year
From the description
Location
San Jose, CA
On site
H-1B approvals FY2025: 8 (USCIS)
Initial H-1B petitions USCIS approved for FIGURE AI INC (CA) in fiscal year 2025, from the H-1B Employer Data Hub. It says what the employer has done, not whether a given role will be sponsored.
Official sourceJobs at employers with H-1B approvals in the United States
Skills this role screens for
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Still studying?Paid software internships in the United States open nowAbout the role
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.
The work
Production quality
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Own quality on assigned in-house assembly lines, such as battery pack assembly and final robot assembly.
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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.
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Monitor first-pass yield and defect Paretos, apply SPC where it adds control, and lead the daily quality response on the line.
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Lead manufacturing line audits covering process, specifications, tooling and gauges, data recording, and operator training.
New product introduction
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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.
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Translate DFMEA severity and safety-critical classifications into process controls, and feed design gaps back to the design teams.
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Define quality line-readiness criteria and sign off readiness for prototype builds through start of production.
Field failures and remanufacturing
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Own failure analysis on field returns and remanufactured units: structured failure coding, teardown, and root cause using 8D, 5-Why, and fishbone analysis.
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Close the loop from field data to production and design corrective actions.
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Drive the DOA and return resolution process together with the remanufacturing and commercial teams.
Quality system and team
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Contribute to building out the manufacturing quality management system: internal audit, corrective and preventive action, deviation handling, equipment qualification, and training standards.
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Partner with Supplier Quality on incoming inspection and supplier corrective actions for components used on the lines.
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Mentor quality engineers and technicians, and raise the standard of structured problem solving across Production, Manufacturing, and Quality.
Who they want
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7+ years of experience in quality engineering in high-volume electromechanical manufacturing (automotive, consumer electronics, robotics, or similar).
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Bachelor’s degree in Mechanical, Electrical, Manufacturing, Mechatronics Engineering, or a related technical field.
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Hands-on experience authoring PFMEAs and control plans and carrying them from NPI into production.
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Structured problem-solving experience with 8D, 5-Why, fishbone analysis, and formal corrective action processes.
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GD&T knowledge and the ability to interpret complex technical drawings.
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Statistical analysis and SPC using tools such as JMP or Minitab, and the ability to build dashboards from inspection and test data.
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Experience with robotic systems, automation, or complex electromechanical assemblies.
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Track record of working on the production floor directly with operators, manufacturing engineering, and design teams.
Nice to have
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Battery pack, actuator, or drivetrain assembly experience.
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Field failure analysis, warranty, or remanufacturing quality experience.
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Knowledge of ISO 9001 or IATF 16949 standards.
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Six Sigma Green Belt or Black Belt certification.
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Hands-on experience with automated inspection systems (CMM, vision systems).
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Experience building a quality management system from the ground up.
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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.
From Figure AI's own careers system (Greenhouse).
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