Process Integration 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. onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.More details about our company benefits can be found here:We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact View email address on click.appcast.io for assistance. RequiredMS or PhD in Electrical Engineering, Physics, Chemistry, Chemical Engineering, Materials Engineering, or related technical field. Experience with semiconductor process technology and wafer fabrication.Understanding of semiconductor device physics, including CMOS, DMOS, Bipolar, and Trench FET devices. Experience applying DOE, statistical analysis, and data analytics to semiconductor development. Strong written and verbal communication skills with the ability to convey complex technical concepts clearly. Proven problem-solving ability and strong collaboration skills in cross-functional teams. Preferred Experience with 180 nm through 40 nm technologies.Knowledge of Bipolar, CMOS, High Voltage DMOS, Vertical FETs, SOI, CIS, EEPROM, NVM, or Dual Damascene copper integration. Knowledge of intrinsic reliability testing methodologies, including GOI, VRamp, TDDB, HCI, EM, and SM. Hands-on experience with process and device TCAD simulations. Experience designing and evaluating physical and electrical design rule test structures. Familiarity with AI/ML techniques, data mining, or statistical modeling applied to semiconductor process or device data.Experience using scripting languages (e.g., Python, MATLAB, JMP, or equivalent) for data analysis, automation, or model development.Process Integration and Technology DevelopmentDevelop unit processes and process modules for CMOS, BCD, Discretes, and hybrid Smart Power technologies. Perform 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 TransferFacilitate 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.Full timePosting Date: 2026-04-20