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Design, analyze, and optimize SiGe HBT devices to meet performance targets for RF and analog applications
Investigate device behavior, including scaling effects, band structure modifications, and thermal impacts under high-frequency operation
Perform RF characterization of transistors, evaluating parameters such as gain, noise, and linearity
Conduct measurements using lab equipment including probe stations and Vector Network Analyzers (VNA), supporting on-wafer RF testing
Develop and validate device models through parameter extraction and comparison with measured data
Utilize simulation tools (e.g., TCAD and circuit simulators) to predict device performance and guide design improvements
Collaborate closely with process integration, circuit design, and modeling teams to ensure alignment across development stages
Analyze experimental data using programming tools such as Python or MATLAB to derive insights and support decision-making
Prepare technical documentation, reports, and presentations for internal reviews and external stakeholders
Requirements
Solid understanding of semiconductor device physics, especially SiGe HBTs
Knowledge of RF fundamentals: S-parameters, gain, noise, and matching
Experience with TCAD (Sentaurus/Silvaco) and circuit simulators (Spectre, ADS, HSPICE)
Hands-on experience with RF measurements (VNA, probe stations, on-wafer testing)
Proficiency in data analysis tools such as Python or MATLAB
Strong problem-solving skills and attention to detail
Ability to collaborate across multidisciplinary teams and communicate technical concepts clearly
Disclaimer
The above information on this description has been designed to indicate the general nature, and level, of the work performed by this position. It is not designed to contain, or be interpreted, as a comprehensive inventory of all duties, responsibilities and qualifications required.
We invite interested candidates to write-in with CV and regret that only shortlisted candidates will be contacted for a discussion.
Lee Shiow Chyn
EA12C6130
R1112042
[Confidential Information]
Job ID: 144957437