Reliability Test technicians

AppLab Systems, Inc; Mountain View (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

AppLab Systems, Inc is seeking a Reliability Engineer to develop and execute comprehensive test plans, perform failure analyses, and apply reliability modeling to predict future performance. You will collaborate with design, manufacturing, QA, and maintenance teams to drive Design for Reliability and maintainability improvements.

The role requires strong communication of results to management and stakeholders, with a focus on robust data driven decision making and continuous improvement across

Qualifications

• Experience designing reliability test plans including thermal cycling, vibration, shock, humidity, burn-in, life testing.
• Ability to perform FA and RCA with permanent corrective actions.
• Skilled in statistical methods and Weibull analysis to predict failure rates.
• Collaborates on DFR and Design for Maintainability with cross-functional teams.
• Communicates results clearly to management and stakeholders.

Responsibilities

• Develop and execute comprehensive test plans: design and carry out reliability tests.
• Perform failure analyses and root cause determinations with corrective actions.
• Apply reliability modeling and prediction using DOE, Weibull, and other tools.
• Collaborate with design, manufacturing, QA, and maintenance on reliability goals.
• Document and report results, findings, and recommendations to cross-functional teams.

Skills

Test planning

Reliability testing

Failure analysis

Root cause analysis

Weibull analysis

DOE

FMEA

DFR

Maintainability input

Documentation

Reporting

Cross-functional collaboration

Job description

• Develop and Execute Test Plans: Design and carry out comprehensive reliability test plans (e.g., thermal cycling, vibration, shock, humidity, burn-in, life testing) for new and existing products or equipment to simulate real-world operating conditions.
• Failure Analysis & Root Cause Determination: Conduct detailed failure analyses (FA) and root cause analyses (RCA) for failures identified during testing or in the field, implementing effective corrective actions and permanent solutions.
• Reliability Modeling & Prediction: Use statistical methods and software tools (e.g., Weibull analysis, Design of Experiments (DOE), FMEA) to predict future performance, model failure rates, and assess potential risks.
• Collaboration: Work closely with design, manufacturing, quality assurance, and maintenance teams to provide key input on "Design for Reliability " (DFR) and "Design for Maintainability " principles.
• Documentation & Reporting: Compile data, generate detailed reports, and communicate test results, findings, and recommendations to cross-functional teams and management.