AI-Enabled Semiconductor Process Engineer Co-op

Skyworks Solutions, Inc.

Thousand Oaks (CA)

On-site

USD 36,000 - 65,000

Full time

3 days ago
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Job summary

Skyworks Solutions, Inc. in Newbury Park, CA is seeking a Winter/Spring Co-Op in Semiconductor Process Engineering (Jan–Jun 2027).

This role supports the process engineering team by developing AI tools to assist troubleshooting and root cause analysis, with emphasis on data-driven decisions. You will collaborate with engineers, collect and analyze manufacturing data, build AI models and dashboards, and present results to engineering stakeholders.

Qualifications

  • Pursuing a Bachelor's or Master's degree in a technical field.
  • Available for a full-time Co-Op assignment January through June.
  • Coursework or project experience in AI/ML, data analytics, software development, or semiconductor manufacturing.
  • Proficiency in Python programming and data visualization.
  • Knowledge of SQL and ability to work with large datasets.

Responsibilities

  • Collaborate with process engineers to understand workflows and root cause analysis.
  • Design, develop, and implement AI/ML tools for process monitoring and troubleshooting.
  • Collect, clean, and analyze large manufacturing datasets from equipment and databases.
  • Develop data pipelines and AI models to identify patterns and root causes.
  • Create user interfaces and dashboards for AI-driven insights.
  • Validate AI model performance and present results to teams.

Skills

Python
Data analysis
SQL
Communication

Education

Bachelor's or Master's in Engineering/related field

Tools

Power BI

Job description

Skyworks Solutions, Inc. in Newbury Park, CA is seeking a Winter/Spring Co-Op in Semiconductor Process Engineering (Jan–Jun 2027).

This role supports the process engineering team by developing AI tools to assist troubleshooting and root cause analysis, with emphasis on data-driven decisions. You will collaborate with engineers, collect and analyze manufacturing data, build AI models and dashboards, and present results to engineering stakeholders.

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