Parametric Test Engineer – DC Semiconductor Data Analysis
The University of Texas at Austin
Austin (TX)
On-site
USD 80,000 - 100,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Benefits offered by this job
Competitive health benefits
Paid vacation and sick time
Defined benefit retirement plan
Tuition assistance
Employee discount program
Free access to libraries and museums
Free rides on UT Shuttle and CapMetro buses
Job summary
A leading university in Texas seeks a Parametric Test Engineer to develop and implement testing procedures for semiconductor devices. The ideal candidate should have a Bachelor's in electrical engineering and at least four years of experience in DC parametric testing. Proficiency in tools like SMUs, strong data analysis skills, and the ability to work collaboratively are essential. The role offers competitive benefits including health insurance, retirement plans, and professional development opportunities.
Qualifications
At least four years of experience in DC parametric testing within the semiconductor industry.
Experience in scripting languages such as Python.
Solid understanding of statistical analysis methods.
Responsibilities
Develop and implement DC parametric test procedures.
Collaborate with cross-functional teams to define test requirements.
Perform data analysis on test results using scripting languages.
Document test methodologies and results.
Skills
DC parametric testing
Python
Statistical analysis
Problem-solving
Communication skills
Education
Bachelor's degree in electrical engineering or related field
Master's degree in electrical engineering or related field
Tools
SMUs
Switch matrices
Wafer probing systems
Job description
A leading university in Texas seeks a Parametric Test Engineer to develop and implement testing procedures for semiconductor devices. The ideal candidate should have a Bachelor's in electrical engineering and at least four years of experience in DC parametric testing. Proficiency in tools like SMUs, strong data analysis skills, and the ability to work collaboratively are essential. The role offers competitive benefits including health insurance, retirement plans, and professional development opportunities.