Technology Characterization & AI Automation Engineering Summer Intern (May-Aug '27)
$26 - $47 USD yearly
About the role
This internship involves applying AI, machine learning, and data analytics to semiconductor technology for characterization, knowledge discovery, workflow automation, and technical reporting. The intern will work with GaAs and InP technologies for high-frequency, high-power RF applications.
What you'll do
- Support characterization of advanced semiconductor devices, passive components, and RF circuits.
- Develop AI-assisted workflows for measurement execution, data collection, analysis, and report generation.
- Create software tools and scripts to improve engineering productivity and laboratory efficiency.
- Apply machine learning and analytics to identify trends, anomalies, and performance drivers in large datasets.
- Build dashboards and visualization tools for technology performance monitoring.
- Explore Generative AI and LLM applications for automated reporting and engineering insights.
- Support automated test development, instrumentation control, and data acquisition systems.
What you'll need
- Currently enrolled in a PhD graduate program, studying Electrical Engineering, Computer Engineering, Computer Science, Data Science, Materials Science, or Physics.
- Programming experience in Python, MATLAB, or similar tools.
- Interest in AI, Machine Learning, Data Analytics, and Generative AI.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
Nice to have
- Experience with PyTorch, TensorFlow, or Scikit-learn.
- Knowledge of LLMs, AI agents, or RAG systems.
- Experience with laboratory automation and instrument control.
- Understanding of semiconductor devices, RF concepts, or manufacturing processes.
- Experience with Power BI, Tableau, Plotly, SQL, or cloud data platforms.
Skills: AI automation, machine learning, data analytics, semiconductor devices, RF applications
This role has been open 8 days — well below the 66-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
517
|
Median days open
66 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 · 76 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 517 |
| Open roles in the wider Software, Firmware & Systems family | 43 | 5787 · 143 employers |
| Median days open | 22 d | 66 d (−44 d vs this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: AI automation, machine learning, data analytics, semiconductor devices, RF applications
Who's hiring in this category
- Qualcomm · 106 open roles · median 98 d
- NVIDIA · 85 open roles · median 66 d
- AMD · 43 open roles · median 61 d
- Micron Technology · 32 open roles · median 38 d
- Mobileye · 25 open roles · median 52 d
- Analog Devices · 14 open roles · median 23 d
How we counted: 517 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 20 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.