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MediaTek’s CPV team is seeking students to apply their software skills to verify chip design using ML in the Physical Verification domain. You will work on ML systems to predict trends and detect anomalies in verification data, while collaborating with data engineers on ML pipelines and data preparation.
The role includes researching ML algorithms, running experiments, and training models as needed, with a focus on practical ML applications in semiconductor verification.
MediaTek‘s CPV team is responsible to ensure the design quality of the integrated circuit layout for our chips. We have unique career opportunities for student interested in applying their software skill towards verifying the chip design with cutting edge process technology. We are looking for those with talent and ambitious to innovate the way we verify the electrical and logical functionality and manufacturability of layout design. Students who are eager to get involved with industry most advance semiconductor process technology are a perfect fit for our team. Students will be involved in software research and development focused on Machine Learning (ML) in the Physical Verification domain. The development will help to predict/analyze of trends and anomaly detection in physical verification area [What’s in it for you?]
MediaTek‘s CPV team is responsible to ensure the design quality of the integrated circuit layout for our chips. We have unique career opportunities for student interested in applying their software skill towards verifying the chip design with cutting edge process technology. We are looking for those with talent and ambitious to innovate the way we verify the electrical and logical functionality and manufacturability of layout design. Students who are eager to get involved with industry most advance semiconductor process technology are a perfect fit for our team. Students will be involved in software research and development focused on Machine Learning (ML) in the Physical Verification domain. The development will help to predict/analyze of trends and anomaly detection in physical verification area [What’s in it for you?]