AI-Driven Semiconductor Process Co‑Op (Jan–Jun 2027)

Skyworks Solutions, Inc; Thousand Oaks (CA); On-site; USD 36,000 - 65,000; Full time

Job summary

Skyworks Solutions, Inc. is seeking a Winter/Spring 2027 Co-Op in semiconductor process engineering to help develop an AI tool for troubleshooting and root-cause analysis.

The position is based in Newbury Park, CA, and runs January through June 2027 with a focus on data-driven process improvement. The role requires pursuing a BS or MS in a relevant engineering or data science field and proficiency in Python, data analytics, SQL, and data visualization.

Qualifications

• Pursuing a BS or MS in a technical field listed.
• Coursework or project experience in AI/ML, data analytics, software development, or semiconductor manufacturing.
• Strong Python, data visualization, SQL, and teamwork skills.

Responsibilities

• Collaborate with process engineers to map troubleshooting workflows and root cause analysis.
• Design, develop, and implement AI/ML tools for process monitoring and defect investigation.
• Collect, clean, and analyze large manufacturing datasets from equipment and databases.
• Develop data pipelines and AI models to identify patterns and deviations.
• Create dashboards and interfaces for engineers to use AI recommendations.
• Validate model performance with real-world use cases and feedback.
• Present updates and results to engineering and management teams.

Skills

Python programming

Data analytics

SQL

Data visualization

Communication

Independent work

Education

Bachelor's or Master's degree in Manufacturing Engineering, Data Science, Software Engineering, Electrical Engineering, Computer Engineering, Industrial Engineering, or related field

Tools

Power BI

Job description

Skyworks Solutions, Inc. is seeking a Winter/Spring 2027 Co-Op in semiconductor process engineering to help develop an AI tool for troubleshooting and root-cause analysis.

The position is based in Newbury Park, CA, and runs January through June 2027 with a focus on data-driven process improvement. The role requires pursuing a BS or MS in a relevant engineering or data science field and proficiency in Python, data analytics, SQL, and data visualization.