Description

2027 Summer Engineering Intern - Technology Characterization & AI Automation

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management and the freedom to make meaningful contributions in a setting that encourages creativity and out-of-the-box thinking.  Our work culture values diversity, social responsibility, open communication, mutual trust, and respect. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together can change the way the world communicates.

We are seeking a highly motivated Summer Engineering Intern to join our Advanced Development Team, a group of device, process, and circuit design experts focused on developing state-of-the-art GaAs and InP technologies for high-frequency, high-power RF applications. This role combines semiconductor technology, data science, automation, and artificial intelligence to accelerate engineering innovation. The intern will work with device, process, and test engineers to develop AI-powered solutions for characterization, knowledge discovery, workflow automation, and technical reporting.

Assignment duration:  3 months during May - August 2027

Responsibilities

• 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.
• Develop intelligent knowledge-discovery systems leveraging engineering data and documentation.
• Explore Generative AI and LLM applications for automated reporting and engineering insights.
• Support automated test development, instrumentation control, and data acquisition systems.
• Document findings and present recommendations to engineering teams.

Required Experience and Skills

• Must be currently enrolled in a PhD graduate program, studying Electrical Engineering, Computer Engineering, Computer Science, Data Science, Materials Science, Physics, or related field.
• 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.

Desired Experience and Skills

• 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.

What You Will Gain:

• Hands-on experience applying AI to semiconductor technology development.
• Exposure to advanced characterization laboratories and engineering workflows.
• Experience building production-quality automation tools.
• Opportunity to work alongside device and process experts.
• Direct involvement in AI-driven engineering innovation.