QC Engineer: Data-Driven Quality & Process Improvement

Applied-Optoelectronics-Inc

Sugar Land (TX)

On-site

USD 65,000 - 95,000

Full time

13 days ago
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Benefits offered by this job

Flexible health plans
401(k) employer matching
Generous PTO
Relocation package (US)
Immigration sponsorships

Job summary

Applied Optoelectronics, Inc. in Sugar Land, TX, is seeking a Quality Control Engineer to support manufacturing by ensuring products and processes meet specs, standards, and customer requirements.

You will oversee IPQC and OQC, analyze data, drive root-cause investigations, and improve inspection methods while collaborating with Production, Engineering, and R&D to boost yield and reduce defects.

Qualifications

  • Bachelor's degree in engineering or related field (e.g., Manufacturing, Materials, Industrial, Electrical, Mechanical, Semiconductor).
  • 1+ year experience in optoelectronics, semiconductor, electronics, photonics, or high-volume manufacturing.
  • Strong analytical and problem-solving abilities.
  • Experience with data analysis software and systems.
  • Knowledge of quality standards, QC, and production quality control.

Responsibilities

  • Oversee IPQC and OQC inspections to ensure product conformance and initiate containment for nonconforming items.
  • Develop and improve inspection methods, sampling plans, and QC procedures.
  • Analyze defect and yield data to identify root causes and improvement opportunities.
  • Coordinate containment, root cause analysis, corrective actions, and verification of effectiveness.

Skills

Analytical skills
Problem solving
Data analysis
Attention to detail
Multi-tasking

Education

Bachelor's degree in engineering or related field

Tools

Quality tools

Job description

Applied Optoelectronics, Inc. in Sugar Land, TX, is seeking a Quality Control Engineer to support manufacturing by ensuring products and processes meet specs, standards, and customer requirements.

You will oversee IPQC and OQC, analyze data, drive root-cause investigations, and improve inspection methods while collaborating with Production, Engineering, and R&D to boost yield and reduce defects.

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