Semiconductor CAD & Data Automation Intern

Keysight Technologies SAles Spain SL.

Santa Rosa (CA)

On-site

USD 40,000 - 48,000

Full time

4 days ago
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Job summary

Keysight Technologies SAles Spain SL. is seeking a Software Engineering Intern at the High Frequency Technology Center in Santa Rosa, CA.

The role focuses on software automation for CAD workflows, data ETL pipelines, and potential ML-driven approaches to engineering challenges. Ideal candidates are enrolled in an undergraduate or graduate program in software-related fields and have experience with Python, C#, JavaScript/TypeScript, or Java.

Qualifications

  • Programming experience in Python, C#, JavaScript/TypeScript, Java, or a similar modern software language.
  • Interest or experience in workflow automation, CAD/EDA tooling, engineering software, data processing, or manufacturing systems.
  • Experience with databases, SQL, ETL concepts, data pipelines, APIs, or structured data documentation is preferred.
  • Exposure to machine learning concepts, model development, data preparation, or model evaluation is preferred.
  • Strong problem-solving, communication, documentation, and collaboration skills.
  • Motivation, attention to detail, and adaptability in a fast-paced engineering environment.

Responsibilities

  • Develop software automation for CAD-related engineering workflows including design review, CAD data generation, verification, and repeatable checks.
  • Build tools to reduce manual review effort, improve consistency across handoffs, and make CAD workflows more traceable and scalable.
  • Contribute to data ETL workflows and data pipelines for reliable downstream use in engineering and manufacturing.
  • Support machine learning model definition and implementation for engineering problems.

Job description

Keysight Technologies SAles Spain SL. is seeking a Software Engineering Intern at the High Frequency Technology Center in Santa Rosa, CA.

The role focuses on software automation for CAD workflows, data ETL pipelines, and potential ML-driven approaches to engineering challenges. Ideal candidates are enrolled in an undergraduate or graduate program in software-related fields and have experience with Python, C#, JavaScript/TypeScript, or Java.

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