Semiconductor Process Engineering Winter/Spring Co-Op (Jan-June '27) - Newbury Park, CA, United States
$26 - $47 USD yearly
About the role
This Winter/Spring Co-Op position supports the semiconductor process engineering team in developing an AI tool for troubleshooting and root cause analysis.
What you'll do
- Collaborate with semiconductor process engineers to understand troubleshooting workflows, failure modes, and root cause analysis methodologies.
- Design, develop, and implement AI/ML-based tools for process monitoring, troubleshooting, and defect investigation.
- Collect, clean, and analyze large manufacturing datasets from process equipment, metrology systems, and production databases.
- Develop data pipelines and AI models that identify patterns, anomalies, and potential root causes of process deviations.
- Create user interfaces and dashboards that enable engineers to interact with AI-generated recommendations and insights.
- Validate AI model performance through real-world engineering use cases and continuous feedback from process engineers.
What you'll need
- Pursuing a Bachelor's or Master's degree in Manufacturing Engineering, Data Science, Software Engineering, Electrical Engineering, Computer Engineering, Industrial Engineering, or a related technical field.
- Coursework or project experience involving artificial intelligence, machine learning, data analytics, software development, or semiconductor manufacturing.
- Proficiency in Python programming.
- Understanding of data visualization tools and techniques.
- Knowledge of SQL and working with large datasets.
Nice to have
- Exposure to semiconductor manufacturing processes, yield engineering, process engineering, or failure analysis.
- Knowledge of statistical process control (SPC), design of experiments (DOE), or root cause analysis methodologies.
- Experience with data visualization platforms such as Power BI.
Skills: AI/ML-based tools, process monitoring, defect investigation, manufacturing datasets, AI models
This role has been open 0 days — well below the 69-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
517
|
Median days open
69 d
|
Median salary
$232k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Skyworks | All employers we track in this specialty (517 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 4 | 517 |
| Open roles in the wider Software, Firmware & Systems family | 45 | 5925 · 143 employers |
| Median days open | 26 d | 69 d (−43 d vs this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: AI/ML-based tools, process monitoring, defect investigation, manufacturing datasets, AI models
Who's hiring in this category
- Qualcomm · 109 open roles · median 99 d
- NVIDIA · 87 open roles · median 70 d
- AMD · 44 open roles · median 62 d
- Micron Technology · 32 open roles · median 42 d
- Mobileye · 21 open roles · median 58 d
- Analog Devices · 14 open roles · median 27 d
How we counted: 517 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 24 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 Software, Firmware & Systems family row. Figures refresh nightly.