Senior Engineer I, Product Intelligence

This engineer will examine semiconductor product and process information and develop data-driven methods for improving manufacturing performance. The work includes creating, testing, and refining machine learning and virtual metrology models, as well as applying statistical and predictive techniques to real-world engineering problems. The position sits at the intersection of data engineering, process development, and hardware characterization, requiring collaboration with both technical and non-technical partners. It is well suited to someone with doctoral-level training or substantial post-master’s experience who can take models from initial design through implementation and validation. Strong communication, teamwork, and the ability to work with datasets of varying size are important for success.