Chip Production Engineer: Testing & Cleaving

APPLIED OPTOELECTRONICS INC; Sugar Land, Northern (TX, KY); Hybrid; USD 70,000 - 100,000; Full time

Benefits offered by this job

Relocation package

Immigration sponsorship

Generous PTO

401(k) matching

Healthcare plans

Job summary

APPLIED OPTOELECTRONICS INC in Sugar Land, TX is seeking a Manufacturing Engineer to ensure smooth operation of the production line. You will troubleshoot work orders, perform root cause analyses, and calibrate cleaving, dicing, and test equipment to sustain product quality.

The role requires collaboration across departments and training of personnel. The successful candidate will have a engineering degree, hands-on experience with semiconductor processes, and strong data analysis skills.

Qualifications

• Bachelor degree required, Masters preferred in related engineering fields.
• Experience with chip manufacturing, micromanufacturing, or equipment automation is a plus.
• Familiarity with LabView programming and cleanroom protocols is expected.

Responsibilities

• Maintain flow of work orders and perform root cause analysis to resolve issues.
• Perform routine calibrations on cleaving, dicing tools, and test stations to ensure quality.
• Monitor daily production quality and analyze data for process improvements.
• Create and update SOPs; provide training to manufacturing personnel.
• Collaborate with IT and Production Control for process improvements.
• Handle other work-related tasks as required.

Skills

Root cause analysis

Data analysis

Calibrations

LabVIEW

Excel

Communication

Cleanroom procedures

Education

Bachelor's degree in Engineering

Master's degree preferred

Tools

Lab equipment automation

Process control systems

Microsoft Office

Job description

APPLIED OPTOELECTRONICS INC in Sugar Land, TX is seeking a Manufacturing Engineer to ensure smooth operation of the production line. You will troubleshoot work orders, perform root cause analyses, and calibrate cleaving, dicing, and test equipment to sustain product quality.

The role requires collaboration across departments and training of personnel. The successful candidate will have a engineering degree, hands-on experience with semiconductor processes, and strong data analysis skills.