Semiconductor CAD & Data Automation Intern

Keysight Technologies; Santa Rosa (CA); On-site; USD 40,000 - 48,000; Full time

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.