Lead Laser Component Reliability Engineer

Working at IPG Photonics you can expect challenging projects, a motivating and friendly environment, and competitive benefits.

We are seeking a highly skilled Laser Component Reliability Engineer to drive reliability analysis and qualification of fiber-coupled multi-emitter pump modules and semiconductor laser diodes. The ideal candidate will have a deep understanding of failure mechanisms in fiber-coupled multi-emitter pump modules and their critical components and interfaces, combined with strong expertise in reliability engineering, advanced statistics, and design of experiments. The role will focus on accelerated life testing, degradation analysis, statistical lifetime modeling, and reliability risk assessment to support product qualification.

Key Responsibilities:

• Develop, design, and execute reliability test plans for fiber-coupled multi-emitter pump modules and semiconductor laser diodes
• Conduct and analyze accelerated lifetime, burn-in, stress, and qualification testing
• Apply statistical methods to evaluate lifetime, degradation, failure rates, and confidence intervals
• Identify key reliability drivers and sensitivities in design and processes
• Investigate failure mechanisms and perform root-cause analysis of device degradation
• Prepare clear reliability reports and data-driven technical recommendations

Required Qualifications:

• Master's degree with 3-6+ years of relevant experience, or PhD with 3+ years of industrial experience, in one of the following fields (Reliability Engineering, Electrical Engineering, Physics or Materials Science)
• Strong background in reliability engineering for optoelectronic devices, semiconductor devices, photonic components, or laser diodes
• Deep understanding of statistics and lifetime data analysis, including Weibull modeling, Kaplan-Meier methods, log-normal modeling, probability distributions, confidence intervals, hypothesis testing, and uncertainty analysis, etc.
• Strong experience with design of experiments and statistical test planning
• Experience with accelerated life testing and degradation modeling
• Ability to analyze reliability data using tools such as Python, R, or equivalent statistical software

Preferred Qualifications:

• Knowledge of optoelectronic packaging and material/interface reliability
• Experience with failure analysis techniques (SEM, FIB, EDX, microscopy)
• Ability to work cross-functionally and communicate complex technical results