Job Description

The CSA division supplies sensors that bridge the gap between the world we live in and the digital world of machines. By converting physical signals - heartbeats, sounds, light waves - into data, we enable robots, cars and other devices to interact with people and improve our world. What drives CSA is a relentless desire to contribute to technology and have a meaningful impact on the world. This business thrives on solving complex problems and partnering with global leaders at the forefront of technological advancement. Our goal: to push the boundaries of sensor technology and empower innovators to make the world smarter, healthier and happier.
Own overall product yield performance and key yield metrics Drive yield improvement, scrap reduction, and excursion management while leading root cause analysis and implement corrective actions Prepare engineering reports, qualification documents, and yield summaries Apply AI and data analytics to enhance yield prediction, detect process anomalies, and optimize manufacturing performance Analyse large datasets using JMP, Minitab, Python, SQL to apply statistical methods to predict issues and improve process margins Provide technical support and data for customer feedback and engineering reviews Collaborate and work closely with OSAT partners, Supplier Quality Engineering and Customer Quality Engineering Lead product qualification, reliability assessment, and risk mitigation Mentor junior engineers and support cross-functional technical discussions

Bachelor's or master's in electrical/Electronics/Materials Engineering or related field 5+ years of experience in semiconductor product or yield engineering Strong skills in data analytics, SPC, DOE, and statistical tools (e.g., JMP, Minitab, Python, SQL Spotfire) Experience with high-volume manufacturing and NPI processes Strong problem-solving mindset with hands-on curiosity. Able to drive decisions in a fast-paced, multi-site environment. * Excellent communication skills and ability to lead technical discussions.