Semiconductor CAD Automation Software Intern

Anite; Santa Rosa (CA); On-site; USD 59,000 - 61,000; Full time

Job summary

Keysight's High Frequency Technology Center is offering a software engineering internship focused on CAD automation and data workflow development. You will build tools to streamline CAD reviews, validate metadata, and implement scalable automation in a semiconductor context.

You will also contribute to ETL workflows, data pipelines, and potentially machine learning model development to address engineering and manufacturing challenges.

Qualifications

• Currently enrolled in an accredited undergraduate or graduate program in Software Engineering, Computer Science, Computer Engineering, Data Science, Electrical Engineering with a software focus, or a related technical field.
• Programming experience in Python, C#, JavaScript/TypeScript, Java, or a similar modern language is preferred.
• Interest or experience in workflow automation, CAD/EDA tooling, engineering software, data processing, or manufacturing systems.

Responsibilities

• Develop software automation for CAD-related engineering workflows, including design review, CAD data generation, verification, and repeatable process checks.
• Define, implement, and document data ETL workflows and data pipelines for reliable downstream use, and explore machine learning model development and evaluation.

Skills

Python

C#

JavaScript/TypeScript

Java

Workflow automation

CAD/EDA tooling

Databases

SQL

ETL concepts

APIs

Machine learning concepts

Education

Currently enrolled in software/engineering degree

Tools

SQL

ETL tools

Data pipelines

APIs

Job description

Keysight's High Frequency Technology Center is offering a software engineering internship focused on CAD automation and data workflow development. You will build tools to streamline CAD reviews, validate metadata, and implement scalable automation in a semiconductor context.

You will also contribute to ETL workflows, data pipelines, and potentially machine learning model development to address engineering and manufacturing challenges.