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Onsemi is an American semiconductor company that was spun out of Motorola in 1999 and has since narrowed itself from a broad commodity chip supplier into a focused power and sensing business. Its silicon carbide and silicon power devices go into electric vehicle traction inverters, chargers and industrial drives, while its image sensors are used in automotive cameras and industrial vision, and it has deliberately exited lower-margin product lines to concentrate on these markets. Headquartered in Scottsdale, Arizona and listed on Nasdaq, it owns its own silicon carbide substrate manufacturing to secure supply.

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.

Process Integration and Technology Development

  • Develop 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 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.

Required

  • MS 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.
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