Develop new and advanced data analysis methods for product and process productivity and quality improvement. 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. 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. 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.
