Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation
Support implementation and optimization of quality screening methodologies including PAT, Statistical Bin Limits (SBL), dynamic guard-banding, clustering, and test escape prevention.
The role involves technologies such as Kafka, Ceph, Apache Iceberg, Docker and Kubernetes. Experience with every listed tool is not expected, but candidates should have strong hands-on experience in the core areas and be comfortable working with related technologies.
· Semiconductor Data Analytics – Develop advanced data analytics methods to understand chip performance, identify trends, investigate failures, and generate insights that support IC design and product improvements.
Own and maintain data pipeline infrastructure across iCORE’s data workstreams, including pipelines supporting iCORE dashboards built on SAP ERP, Snowflake, and Power BI.
Support implementation and optimization of quality screening methodologies including PAT, Statistical Bin Limits (SBL), dynamic guard-banding, clustering, and test escape prevention.
Collaborate with application teams, architects, and security specialists to ensure smooth delivery and operation of cloud-native and container-based applications.
Support implementation and optimization of quality screening methodologies including PAT, Statistical Bin Limits (SBL), dynamic guard-banding, clustering, and test escape prevention.