
Quality Engineer, Metrology
Nice to have's
Job description
About the Position
Quality Engineer, Metrology
San Jose, CA
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.
We are looking for a Quality Engineer to work in our manufacturing facility helping to manage the Incoming Quality Lab.
Responsibilities
- Manage Incoming Quality Lab, manage QC workload, priority, and ensure all equipment is in good operational order.
- Develop Quality Control Plan and Quality Work Instructions.
- Lead and supervise QC inspectors to perform dimensional, visual, and functional verifications.
- Lead MRB meetings, manage MRB processes, and collaborate with associated parties to resolve issues related.
- Perform dimensional, visual, functional verification, and other inspections per QC plan or Work Instructions.
- Review and Approve First Article Inspection Report.
- Initiate Non-conformance Report and Oversee Open Quality Tracker.
- Keep the QC area in clean and organized conditions.
- Support other QC-related activities.
Requirements
- 5+ years of similar experience in a manufacturing environment.
- Ability to read and interpret engineering drawings and CAD models.
- Expert on GD&T ASME Y14.5-2009 or ASME Y14.5-2018.
- Expert on Sampling Plan C=0, and ASQ Z1.4/MIL-STD-105.
- Proficiency with common inspection tools, including Digital Height Gage, caliper, micrometer, thread gages, etc.
- Attention to detail: capable of maintaining precision in a fast-paced environment.
- Strong communication skills: good verbal and written communications skills with analytics and numeracy.
Bonus Qualifications
- Proficiency with CMM, OMM.
- Certifications such as ASQ CQE, CQM, CRE, CQA.
- Robotics or other high-tech industry experience.
- Understanding of manufacturing processes, quality systems, and industrial engineering principles.
We Offer
- Salary: The US base salary range for this full-time position is $150,000 to $225,000 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.
About the Company
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.
© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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