Apply modern digital tools like Power BI, Power Platform, and AI models to solve real-world wafer fabrication challenges.
About the role
As a Manufacturing Digital Transformation & AI Summer Intern on the Wafer Fabrication Manufacturing team, you will work on projects that improve factory performance through data analytics, process automation, artificial intelligence, and continuous improvement. You will develop digital tools, dashboards, and AI-assisted solutions within a semiconductor manufacturing environment from May to August 2027.
What you'll do
- Analyze manufacturing data to identify trends and improvement opportunities.
- Create dashboards and visualizations that help teams make data-driven decisions.
- Develop AI-assisted tools that improve manufacturing efficiency and automate routine tasks.
- Support projects involving process automation, digital transformation, and Industry 4.0 technologies.
- Help build automated smart shift passdowns, reporting tools, and continuous improvement tools supporting root cause analysis, 5-Why investigations, and action tracking.
- Assist with digital solutions for safety programs, near-miss tracking, and 5S assessments while participating in Lean Manufacturing projects.
What you'll need
- Currently pursuing a Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Information Systems, Industrial Engineering, Manufacturing Engineering, or a related field.
- Strong interest in manufacturing processes, process improvement, automation, AI, and digital transformation.
- Experience with Microsoft Office applications, including Excel, PowerPoint, and Word.
- Demonstrated ability to document and present findings in a clear, concise manner.
- Willingness to learn new tools, techniques, and software related to manufacturing and process improvement.
Nice to have
- Exposure to manufacturing, engineering, or process improvement projects.
- Familiarity with Lean Manufacturing, Six Sigma, or Continuous Improvement concepts.
- Experience with Power BI, Power Apps, Power Automate, Tableau, or similar data analysis tools.
- Interest or experience in Artificial Intelligence, Microsoft Copilot, Claude, automation, or data visualization.
- Understanding of Industry 4.0 or Smart Manufacturing concepts.
- Familiarity with Python, SQL, or basic project management tools and methodologies.
Skills: process automation, Power BI, Industry 4.0, Lean Manufacturing
More semiconductor jobs: Manufacturing jobs · California jobs
This role has been open 9 days — well below the 58-day median for Manufacturing/Industrial Engineering roles.
Manufacturing/Industrial Engineering · Manufacturing Equipment
|
Open roles in category
2380
|
Median days open
58 d
|
Category median salary (all employers)
$100k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Skyworks | All employers we track in this specialty (2380 roles · 78 employers) |
|---|---|---|
| Open roles in this specialty | 39 | 2380 |
| Open roles in the wider Process, Fab & Equipment family | 153 | 10057 · 117 employers |
| Median days open | 26 d | 58 d (−32 d vs this employer) |
| Median salary (USD postings) | — | $100k |
Skills observed across this category: process automation, Power BI, Industry 4.0, Lean Manufacturing
Who's hiring in this category
- Micron Technology · 315 open roles · median 74 d
- Applied Materials · 255 open roles · median 40 d
- Entegris · 202 open roles · median 57 d
- Lam Research · 100 open roles · median 79 d
- Infineon Technologies · 97 open roles · median 45 d
- ASML · 73 open roles · median 51 d
How we counted: 2380 open Manufacturing/Industrial Engineering (Manufacturing Equipment) roles from 78 employers tracked in the SemiconductorJobs index, counted 8 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 Process, Fab & Equipment family row. Figures refresh nightly.