Parametric Test Engineer
Company | University of Texas – Austin |
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Location | Austin, TX, USA |
Salary | $120000 – $150000 |
Type | Full-Time |
Degrees | Bachelor’s, Master’s |
Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree in electrical engineering, electronics, or a related field
- At least four years of proven experience in DC parametric testing within the semiconductor industry for Parametric Test Engineer I
- At least six years of proven experience in DC parametric testing within the semiconductor industry for Parametric Test Engineer II
- At least eight years of proven experience in DC parametric testing within the semiconductor industry for Parametric Test Engineer III
- Proficiency in operating SMUs, switch matrices, and wafer probing systems
- Strong data analysis skills, with experience in scripting languages such as Python or similar
- Solid understanding of statistical analysis methods, including gauge R&R, hypothesis testing, and regression analysis
- Excellent problem-solving abilities and attention to detail
- Strong communication skills, with the ability to work effectively in a collaborative team environment
Responsibilities
- Develop and implement DC parametric test procedures for semiconductor devices using SMUs, switch matrices, and wafer probing equipment.
- Collaborate with cross-functional teams to define test requirements and ensure alignment with project objectives.
- Perform data analysis on test results, utilizing scripting languages such as Python to automate data collection and processing.
- Apply statistical analysis techniques, including gauge Repeatability and Reproducibility (R&R), hypothesis testing, and regression analysis, to assess test accuracy and reliability.
- Troubleshoot and resolve issues related to test equipment and procedures to maintain high-quality testing standards.
- Document test methodologies, results, and analysis to support knowledge sharing and continuous improvement initiatives.
- Other related functions as assigned.
Preferred Qualifications
- Master’s degree or higher in electrical engineering, electronics, or a related field
- Database experience
- Familiarity with semiconductor device physics and fabrication processes
- Knowledge of data visualization tools and techniques