About this role
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 and knowledge of semiconductor device functions is required.
Required
- MS or PhD in Electrical Engineering, Physics, Chemistry, Chemical Engineering, Materials Engineering, or related technical field.
- Minimum of 10 years’ experience in semiconductor manufacturing or process development or process integration in a semiconductor manufacturing environment.
- Knowledge of semiconductor processes such as oxidation, implant, deposition (CVD, PECVD, etc.), RIE, CMP, Lithography used in FEOL and BEOL wafer fabrication.
- Experience applying DOE, statistical analysis, and data analytics to semiconductor development.
- Understanding 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.
- Proven problem-solving ability and strong collaboration skills in cross-functional teams.
Preferred
- Experience with 180 nm through 40 nm technologies.
- 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.