Learn and execute in multiple manufacturing execution systems (MES) quickly and proficiently
Support manufacturing operations in a high-volume manufacturing 300mm wafer Fab running Analog or Embedded Processing Technologies
Develop and implement improved methods of manufacturing, procedures, and processes that result in improved efficiencies, yields, machine operations, and quality
Implement project or improvement plans for areas of responsibility including but not limited to: efficiency improvements, cost reduction or quality improvement programs, new product support and other process improvements
Identify systematic problems in either process or equipment related sources and communicating findings to the engineering staff in a continuous manner
Participate in data analysis and problem resolution
Develop new processes for existing or future technologies with high performance and low cost to produce world class quality
Apply statistical rigor through SPC, DOE, modeling and other advanced data analysis methods
Minimum requirements
2 years relevant experience in at least two of the following: Industrial Automation, Semiconductor Process Engineering, Data Analytics/System Integration
Bachelor's degree in Chemical Engineering, Electrical Engineering, Mechanical Engineering, Materials Science, Computer Science, Software Engineering or a related field
Experience in programming languages, Python, and/or SQL
Preferred qualifications
Strong foundation with statistical process control, control theory/tools (e.g., PID tuning, state estimation, etc.), linear algebra, engineering change control and process release strategies
Advanced technical degree related to controls, systems, or software development
Prior experience with Semiconductor APC systems, preferably AMAT E3 or ProcessWORKS
