Responsibility for all product engineering activities and will report to the Director of Production Engineering
Owner of statistical analysis of data to support NPI, Production and Customer Return activities
Ownership of end-to-end product yield across Dukosi product lines
Central role in the quick turnaround of customer return issues, working within cross functional teams, to contain and implement corrective actions, and ensure appropriate communications on status internally within Dukosi and to end customers
Develop Yield Management Systems and tools to deliver best in class functionality
Co-Work with Test Development Team to approve release to production of test programs, by determining production readiness, using GR&R methodology
Disposition products through an MRB process to ensure all products released to customers meets appropriate quality requirements
Co-work with reliability team to determine appropriate stresses applicable to Dukosi products and drive root cause on any failures generated during reliability stresses
Lead the analysis of characterization data to confirm ability to meet datasheet limits, determine appropriate spec limits to be used on ATE and root cause any results that do not match simulations
Operate test equipment, debug test programs on ATE, create and execute DoE’s.
Requirements
Bachelor’s degree in electrical engineering, Mechanical Engineering, or a related field
10+ years of experience in high volume semiconductor manufacturing, operations & product engineering, with strong knowledge of manufacturing processes, test equipment, FA techniques and data analysis best practices
Demonstrated leadership, communication and influencing skills and can communicate with ease to customers, senior management and across internal groups
Knowledge and experience of continuous improvement and structured problem solving such as 8-D, fishbone, and other tools
Knowledge and experience of yield management tools and statistical analysis packages
Experience in creating and maintaining SOPs for manufacturing and production
Experience with Automotive standards, AEC-Q100 and zero-defect initiatives
Knowledge of supply chain digitalization, automation, and advanced manufacturing technologies.