R&D Software Engineer Intern

Keysight Technologies, Inc.•Santa Rosa, CA

20h

About The Position

The High Frequency Technology Center (HFTC) of Keysight Technologies is seeking an intern to join our Factory Automation team. This role offers the opportunity to contribute to software and systems that support semiconductor manufacturing operations. Working alongside software engineers, automation engineers, process engineers, manufacturing personnel, and IT professionals, you will help develop solutions that improve factory efficiency, equipment utilization, operational visibility, and manufacturing processes. Projects may span software development, automation, data analysis, system integration, and manufacturing systems. This is an excellent opportunity for someone who enjoys learning, solving complex problems, and working on projects that have a direct impact on real-world operations. Our team leverages modern AI-assisted engineering tools such as GitHub Copilot, Claude, and similar technologies to accelerate research, development, troubleshooting, and documentation. These tools are used as engineering aids, not replacements for engineering judgment. Candidates should be comfortable learning how to effectively use AI tools while maintaining responsibility for understanding, validating, testing, and supporting the solutions they create. This internship is designed to provide meaningful, hands-on engineering experience in a real manufacturing environment. Interns will be assigned a defined project with clear objectives, ownership, and measurable outcomes. Throughout the internship, participants will work closely with experienced engineers while gaining exposure to software development, automation, manufacturing systems, and cross-functional collaboration. By the conclusion of the internship, the goal is for each intern to have delivered a tangible project, feature, or system improvement that provides value to the organization. The experience should result in a meaningful accomplishment that can be showcased on a resume, discussed in future interviews, and serve as a foundation for continued professional growth.

Requirements

Pursuing a degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Data Science, Information Systems, or a related technical discipline
Strong problem-solving and analytical skills
Experience with at least one programming language
Strong communication, organization, and teamwork skills
Ability to learn new technologies and work within existing systems
Ability to take ownership of tasks and follow them through to completion
Strong engineering fundamentals
A willingness to learn
A thoughtful approach to problem solving

Nice To Haves

Experience developing applications in Rust
SQL and relational databases
Full-stack web application development
REST APIs and system integration
State machines, workflow engines, or event-driven architectures
Git and modern software development practices
Manufacturing, automation, or industrial systems
Personal, academic, open-source, or internship projects that demonstrate initiative and technical curiosity
Curiosity and a willingness to learn
Strong problem-solving and critical thinking skills
Attention to detail and a commitment to quality
Strong organization and time-management skills
The ability to collaborate effectively with both technical and non-technical stakeholders
A desire to understand the people, processes, and business needs behind a problem, not just the technical requirements
An understanding that good engineering is not simply building a solution, but building one that is reliable, maintainable, practical, and valuable to the people who use it

Responsibilities

Contribute to software and systems that support semiconductor manufacturing operations.
Develop solutions that improve factory efficiency, equipment utilization, operational visibility, and manufacturing processes.
Work on projects that may span software development, automation, data analysis, system integration, and manufacturing systems.
Learn how to effectively use AI tools while maintaining responsibility for understanding, validating, testing, and supporting the solutions they create.
Work closely with experienced engineers.
Gain exposure to software development, automation, manufacturing systems, and cross-functional collaboration.
Deliver a tangible project, feature, or system improvement that provides value to the organization.