$31 - $42 USD yearly
Originally posted 2 September 2026 by the employer — open 8 days.
Focus on yield improvement opportunities in the manufacturing of advanced RFIC products.
About the role
This Product Engineering Intern role involves identifying yield improvement opportunities in the manufacturing of advanced RFIC products through data analysis and machine learning. This internship is offered within Qorvo's High Performance Analog, Advanced Cellular, and Connectivity and Sensors business groups.
What you'll do
- Develop techniques to identify yield improvement opportunities in the manufacturing of advanced RFIC products.
- Conduct data analysis, mining, and extraction utilizing statistical methods and related software tools.
- Develop data analysis routines in Python, using AI and Machine Learning approaches.
- Interface with Design, Manufacturing, Test, Applications, Project Management, and Quality Engineering teams.
What you'll need
- Currently pursuing a BS, MS, or PhD in Electrical Engineering or a dual degree in Electrical Engineering and Computer Science.
- Minimum GPA of 3.0.
- Analog/RF circuit design coursework and/or experience.
- Knowledge of common statistical techniques (CPK, SPC, ANOVA).
- Coding coursework and/or experience, preferably with Python and Spark SQL.
- Basic understanding of AI/Machine Learning techniques for analysis of complex datasets.
Nice to have
- Understanding of power amplifiers/LNAs and their critical performance indicators.
- Experience with RF measurement equipment such as spectrum analyzers and network analyzers.
Skills: yield improvement, manufacturing of advanced RFIC, data analysis/mining, statistical methods, Python, AI and Machine Learning
This role has been open 7 days — well below the 51-day median for Product Engineering roles.
Product Engineering · Yield Engineering
|
Open roles in category
94
|
Median days open
51 d
|
Median salary
—
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | QORVO | All employers we track in this specialty (94 roles · 33 employers) |
|---|---|---|
| Open roles in this specialty | 4 | 94 |
| Open roles in the wider Silicon Validation & Test family | 35 | 1953 · 109 employers |
| Median days open | 8 d | 51 d (−43 d vs this employer) |
| Median salary (USD postings) | — | — |
Skills observed across this category: yield improvement, manufacturing of advanced RFIC, data analysis/mining, statistical methods, Python, AI and Machine Learning
Who's hiring in this category
- Micron Technology · 24 open roles · median 58 d
- Infineon Technologies · 7 open roles · median 89 d
- AMD · 6 open roles · median 21 d
- NVIDIA · 6 open roles · median 38 d
- Texas Instruments · 6 open roles · median 95 d
- onsemi · 5 open roles · median 36 d
How we counted: 94 open Product Engineering (Yield Engineering) roles from 33 employers tracked in the SemiconductorJobs index, counted 10 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Silicon Validation & Test family row. Figures refresh nightly.