Serve as a Staff Data Engineer leading the design and implementation of scalable data platforms, governed data products, and advanced analytics capabilities that drive semiconductor engineering insights.
Partner with cross-functional teams across Test Engineering, Product Engineering, Yield, and NPI to transform complex semiconductor test data into reusable, high-quality data products and analytics solutions. Leverage cloud-native technologies to develop business logic, data pipelines, and rapid prototypes, while working closely with IT to transition solutions into production environments with strong standards for scalability, governance, reliability, and operational support.
This role plays a key part in enabling timely, trusted, and actionable insights from high-volume semiconductor data sources, improving engineering productivity, decision-making, and overall solution effectiveness....
Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
Provide engineering support for backend semiconductor packaging processes, including wafer bumping, wafer singulation, wafer grinding/backgrind, and wafer mounting.
Support daily production activities to achieve output, quality, efficiency, productivity, yield, cycle time, and safety targets....
Bachelor's degree in Engineering, Science, or related field and 2+ years of Product/Process Development or related work experience.
Responsible for end‑to‑end development, qualification, and mass‑production transfer of new processes, materials, and manufacturing technologies.
Ensure process readiness, robust manufacturability, and smooth ramp‑up through strong cross‑functional coordination, data‑driven decision‑making, and technology leadership....
Bachelor's degree in Engineering, Science, or related field and 2+ years of Product/Process Development or related work experience.
Responsible for development, qualification, and high-volume production transfer of new processes, materials, and manufacturing technologies.
Ensure process readiness, robust manufacturability, and smooth ramp‑up through strong cross‑functional coordination, data‑driven decision‑making, and process leadership....