Principal Engineer Product Test Engineering
Infineon Technologies
Date: 19 hours ago
City: Malacca
Contract type: Full time
Develop new and advanced data analysis methods for product and process productivity and quality improvement.
Job Description
In your new role you will:
You are best equipped for this task if you have:
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.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Job Description
In your new role you will:
- Define and develop new and advanced data analysis methods for product and process productivity and quality improvement.
- Explore and develop new and advanced data analysis tooling and requirements, including prototyping and interacting closely with experts and IT.
- Work closely with engineering teams on problem solving relating to product, process & test technology topics in manufacturing with optimal usage of data analysis.
- Establish & provide technical competency training on data analysis methods for the engineering community.
- Design, build and sustain data architecture for the engineering data pipeline for data analytics applications.
- Develop & deploy optimum & efficient data engineering methodologies for engineering system optimization & effectiveness.
- Drive & collaborate with technical experts on data analytics/engineering development that supports productivity/qualityinitiatives/projects
You are best equipped for this task if you have:
- Degree/Master in Electrical & Electronics Engineering, Computer Science or equivalent with more than 5 years of relevant experience in the Semiconductor Industry.
- Knowledgeable in statistical data analysis, data mining/scripting with well-verse in Product Test Engineering work methods, processes and related tools.
- Excellence in application of data analysis & data visualization software.
- Application experience in database architecture development, management, pipeline & application (eg, Oracle, SQL).
- Knowledge in Artificial Intelligence & Machine/Deep Learning methodologies for manufacturing will be advantageous.
- Experience in Product Engineering & Device testing /Advanced product & process control / Problem solving and process improvement methodologies (8D, Lean 6 Sigma) are highly preferred.
- Proactive & self-driven individual with a relevant technical skill set.
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.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
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