Process Integration and Technology Development Engineer

The Process Integration and Technology Development Engineer defines, develops, and implements silicon process technology for the manufacture of integrated silicon devices. The successful candidate will be responsible for unit/process module development, process flow implementation, design rule definition, device architecture, electrical characterization, and technology qualification. These tasks support new silicon technology developments and transfers of existing technologies in and out of the resident fab. Experience related to semiconductor processing in BCD, Discretes, and hybrid Smart Power technologies is desired. 

Required

• MS or PhD in Electrical Engineering, Physics, Chemistry, Chemical Engineering, Materials Engineering, or related technical field. 
• Knowledge of semiconductor device physics and construction, including CMOS, DMOS, Bipolar, and Trench FET devices.  
• Strong written and verbal communication skills with the ability to convey complex technical concepts clearly. 
• Demonstrated problem-solving ability and strong collaboration skills in cross-functional teams. 

Preferred 

• Understanding of semiconductor processes such as CVD, PVD, implant, diffusion, etch and plating. 
• Hands-on experience with process and device TCAD simulations. 
• Experience designing and evaluating experiments using statistical methods. 
• Familiarity with AI/ML techniques, data mining, or statistical modeling.
• Experience using scripting languages (e.g., Python, MATLAB, JMP, or equivalent) for data analysis, automation, or model development.

Process Integration and Technology Development

• Lead the development of unit processes and process modules for CMOS, BCD, Discretes, and hybrid Smart Power technologies. 
• Define and assess process module characterization to ensure robustness, manufacturability, and scalability. 
• Develop and maintain end-to-end technology process flows with detailed process specifications. 
• Define physical design rules and test structures for characterization.
• Drive process and device optimization to meet performance, reliability, and cost targets. 
• Design and analyze statistical experiments using DOE, regression, and AI-assisted methods to optimize device architecture and process modules. 
• Support intrinsic reliability studies, including gate oxide integrity, TDDB, HCI, EM, and stress migration, using both physics-based and data-driven approaches. 

Manufacturing, Yield & Technology Transfer

• Facilitate process improvements and corrective actions for yield, reliability, and manufacturability issues using root-cause analysis and data mining and analysis. 
• Support Process Engineering and Yield Engineering teams to improve process quality and yield for technologies released to manufacturing. 
• Enable smooth technology transfers into and out of the fab by using data-driven monitoring, excursion detection, and learning systems.