Optical & Semiconductor Reliability Engineer - PTO & 401(k) Match

ao-inc

Sugar Land (TX)

On-site

USD 85,000 - 125,000

Full time

14 days+

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Benefits offered by this job

Relocation package
Immigration sponsorships
Generous PTO
401(k) matching

Job summary

AOI in Sugar Land, Texas seeks a Reliability Engineer to lead reliability testing, data analysis, and tool maintenance for optical devices. The role includes planning qualifications, stress testing, and collaboration with RD/process teams to embed reliability early in development.

The candidate will analyze data, perform failure analyses, and drive corrective actions while documenting results and coordinating with product engineering to resolve yield and quality issues.

Qualifications

  • Bachelor's degree in a related engineering or physics field with 3 years of reliability testing and data analysis in semiconductor/optical devices.
  • Hands-on experience with SEM, TEM, EDS, XRD, optical microscopy is preferred.
  • Experience with DOE techniques and SPC is preferred.

Responsibilities

  • Reliability test responsibility: maintain burn-in and testing tools, execute qualification plans, stress testing, and accelerated life testing for optical devices.
  • Analyze test data using statistical methods and identify failure trends; develop reports and implement corrective actions.
  • Cooperation: collaborate with RD/process engineers to integrate reliability practices early in development and coordinate with product engineering to resolve yield issues.

Skills

Data analysis
Problem solving
Interpersonal skills
Communication
Independent work
Teamwork

Education

Bachelor's degree in MSE/EE/Physics (3+ years in reliability testing)
Master's or PhD in MSE/EE/Physics (1+ year)

Tools

Microsoft Access
SQL
LabVIEW

Job description

AOI in Sugar Land, Texas seeks a Reliability Engineer to lead reliability testing, data analysis, and tool maintenance for optical devices. The role includes planning qualifications, stress testing, and collaboration with RD/process teams to embed reliability early in development.

The candidate will analyze data, perform failure analyses, and drive corrective actions while documenting results and coordinating with product engineering to resolve yield and quality issues.

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