Job Family: Software Req ID: 464713 Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Siemens EDA. Calibre SEMI: https://eda.sw.siemens.com/en-US/ic/calibre-manufacturing/ + JOB TITLE: Optical Proximity Correction (OPC) Model Software Engineer + LOCATION: Hsinchu (In the first year, you must come into the office. Starting from the second year, you can work from home.) + Department: Calibre R&D Software Engineer + JOB OVERVIEW: This role is responsible for developing machine learning models for use in Calibre OPC model products. Our work will be used in advanced nodes beyond 3 nm in semiconductor manufacturing. + WHO YOU ARE: You are flexible and eager to learn new things, accept new challenges, and develop influential products. + WHAT YOU HAVE DONE: You have a master’s degree in Physics, Mathematics, Electrical Engineering, Computer Science, or equivalent training. The following abilities or experiences are appreciated, but we primarily value personality traits and individual potential for future growth. It's okay if you don't have experience. + Knowledge of basic mathematics, including linear algebra, calculus, and differential equations. + Experience with C/C++, Python, or Matlab. + Experience using Linux/UNIX systems. + Experience of using ML frameworks such as TensorFlow, Pytorch, or JAX. Working at Siemens Software Why us? Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. #LI-EDA #LI-Onsite