Staff Product Engineer Data Analytics
$150,978 - $218,624 USD yearly
Support NPI, qualification, and high-volume manufacturing of power management ICs using large-scale wafer sort and test data analytics.
Originally posted 5 November 2026 by the employer.
About the role
This role supports new product introduction (NPI), qualification, production ramp, and high-volume manufacturing of power management ICs using semiconductor manufacturing data analysis. You will analyze large-scale manufacturing, test, yield, reliability, and process data across foundry and OSAT partners.
What you'll do
- Own and manage product, test, yield, reliability, and manufacturing data across the product lifecycle from NPI through high-volume production.
- Analyze wafer sort, final test, assembly, and reliability data to identify yield issues, process excursions, and continuous improvement opportunities.
- Perform statistical analysis, data mining, and visualization of manufacturing datasets using tools like Python, SQL, JMP, Spotfire, or Excel.
- Build automated data pipelines, dashboards, and reporting solutions to monitor KPIs including yield, quality, reliability, WIP, cycle time, and production efficiency.
- Drive root cause investigations using statistical methodologies to resolve product, process, and manufacturing issues with design, test, quality, operations, foundry, and OSAT teams.
- Support product qualification, characterization, production ramp, and sustaining engineering activities through data-driven recommendations and performance reviews.
What you'll need
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Data Engineering, Computer Science, Statistics, or a related technical field.
- 5-8+ years of experience in semiconductor product engineering, manufacturing engineering, yield engineering, NPI, or semiconductor data analytics.
- Direct experience analyzing semiconductor manufacturing data including wafer sort, final test, yield, reliability, assembly, and process control data.
- Proficiency with data analytics and visualization tools such as Python, SQL, JMP, Spotfire, or Excel.
- Working knowledge of statistical methods including DOE, SPC, regression analysis, correlation analysis, hypothesis testing, and trend analysis.
- Demonstrated experience working with semiconductor foundries, OSATs, product qualification flows, and production ramp activities.
Skills: NPI, yield analysis, wafer sort, power management IC, SPC
More semiconductor jobs: Analog Devices jobs · Product engineer jobs · California jobs
This role has been open 0 days — well below the 80-day median for Product Engineering roles.
Product Engineering · Power Management
|
Open roles in category
38
|
Median days open
80 d
|
Category median salary (all employers)
—
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Analog Devices | All employers we track in this specialty (38 roles · 15 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 38 |
| Open roles in the wider Silicon Validation & Test family | 65 | 2380 · 120 employers |
| Median days open | 49 d | 80 d (−31 d vs this employer) |
| Median salary (USD postings) | — | — |
Skills observed across this category: NPI, yield analysis, wafer sort, power management IC, SPC
Who's hiring in this category
- Infineon Technologies · 8 open roles · median 45 d
- Renesas Electronics · 5 open roles · median 44 d
- Vishay Intertechnology · 4 open roles · median 103 d
- Navitas Semiconductor · 3 open roles · median 21 d
- Nexperia · 3 open roles · median 91 d
- onsemi · 3 open roles · median 103 d
How we counted: 38 open Product Engineering (Power Management) roles from 15 employers tracked in the SemiconductorJobs index, counted 5 Nov 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.