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Infineon Technologies

Engineer / Senior / Staff Engineer Product Test Engineering

Infineon Technologies
Integrated Device ManufacturingSingaporeOnsitePosted 5 days ago
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About the role

AI summarised

Join Infineon Technologies to apply your engineering expertise in product test engineering, focusing on data analysis and process improvement. This role involves supporting manufacturing lots, executing ratio activities, and collaborating cross-functionally to enhance product yield, stability, and quality.

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Key Responsibilities

  • Support Maverick lots detection, handling, analysis, disposition & improvement against reoccurrence, addressing issues with Front end /assembly.
  • Execute and implement Ratio activities such as test time reduction, retest reduction, test insertion removal, and higher parallelism Migration.
  • Interface with design, process, test, reliability, and manufacturing engineering to solve product issues affecting yield, stability, and quality.
  • Develop and sustain process improvements aimed at reducing production costs and increasing yields.
  • Provide customer return verification support, including implementing containment & preventive actions.
  • Perform complex analysis of large data sets to derive statistically dependent outputs, leading to recommendations for testing process improvements.
  • Develop and implement semi-automated data analysis algorithms using programming languages and data analysis tools, and design reporting systems.
  • Advise product engineer teams on AIML techniques to further tune current testing processes, driving efficiency and effectiveness.

Requirements

  • Bachelor's or Master's degree in Electrical Engineering (EE), Mechanical Engineering (ME), or a related field.
  • 0-5 years of experience in product testing, manufacturing, or a related field (desire to transition into AIML-focused role).
  • Strong foundation in programming languages such as Python, C++, or MATLAB.
  • Experience with data analysis tools and software.
  • Basic understanding of AIML concepts, including machine learning, deep learning, and natural language processing.
  • Strong analytical and problem-solving skills to derive insights from complex data sets.
  • Excellent communication and interpersonal skills for collaborative team environments.