About this role
We are seeking a highly motivated and ambitious Product Test Engineer to join our team in Singapore.
As a Product Test Engineer with a focus on Artificial Intelligence and Machine Learning (AIML), you will play a keyrole in analyzing large data sets, deriving insights, and providing recommendations to improve testing processes. You will work closely with cross-functional teams, including product engineering, manufacturing, and data science, to drive the adoption of AIML techniques in ourtesting processes.
Your role Key responsibilities in your new role
- Manage Maverick (lots-on-hold) detection, analysis and disposition, implement recurrence-prevention actions, and address relevant issues to front end/assembly.
- Execute Ratio and test-efficiency improvement activities, including test-time reduction, retest reduction, test insertion removal and higher-parallelism migration.
- Collaborate with design, process, test, reliability and manufacturing engineering to perform systematic correlation and root-cause analysis, differentiating test-related issues from product, process and hardware issues.
- Develop and implement process and test optimization initiatives to improve yield, test stability and quality while reducing production cost.
- Support customer-return (FAR) verification and implement appropriate containment, corrective and preventive actions.
- Analyze large-scale manufacturing and test data using statistical and data-analytics techniques to identify performance trends, yield-loss mechanisms and improvement opportunities.
- Develop semi-automated data-analysis algorithms and reporting solutions to support technology maturation, production monitoring and continuous improvement under digitalization mindset.
- Communicate analytical findings and recommendations effectively to cross-functional teams and drive data-based continuous improvement.
- Perform test-program debugging and troubleshooting on ATE particularly V93000 (Advantest platform), and develop test plans and optimization actions based on debugging findings and test-data analysis
Your profile Qualifications and skills to help you succeed
- Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, Mechanical Engineering, or a related engineering discipline.
- Min 0-5 years of relevant experience in s emiconductor product/test engineering, manufacturing, or a related field, preferably with exposure to data analytics or AIML applications s
- Hands-on experience in semiconductor test programmer debugging and troubleshooting using V93000 and/or Advantest test platforms will be huge plus point.
- Strong understanding of semiconductor test methodology, test programmer flow, test limits, test correlation and yield analysis.
- Ability to analyze test and manufacturing data, identify yield-loss mechanisms, perform systematic root-cause analysis, and develop practical test plans and improvement actions. - Experience with data-analysis and programming tools to automate analysis, handle large datasets and support data-driven decision-making.
- Strong analytical and problem-solving skills, with the ability to distinguish test-related issues from product, process and hardware-related issues
- Good cross-functional communication skills and ability to work effectively with product, test, process, manufacturing and other engineering teams.
- Candidates without experience are welcome to apply
#WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone.
We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.
Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.
Please let your recruiter know if you need any accommodations during the interview process.
Learn more about our various contact channels and about Diversity & Inclusion at Infineon.
Mandy Neoh