Software Engineering Intern (AI Solutions)
About The Position
Keysight is seeking a Software Engineering Intern to join their AI Solutions team in Colorado Springs for the summer. This internship offers a challenging position in software development where interns will help build AI-powered features into digital measurement instruments. The role involves applying engineering coursework and knowledge in software development to solve real-world problems. Interns will be part of an Agile software development team, working on the design, implementation, and testing of AI-powered software features for Keysight digital instruments. Projects will focus on applying AI and machine learning models to measurement problems, building agentic and LLM-based features, and creating necessary test and evaluation tooling. This internship is designed as a pipeline into full-time R&D Engineer openings.
Requirements
- Pursuing a BS in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or an equivalent degree, with an expected graduation date between December 2027 and June 2028 (typically a rising senior)
- Experience with software development, source control, and testing
- Experience with object-oriented programming in a modern language such as Python, C++, C#, Rust, or Java, and the ability to write and debug non-trivial code independently
- Exposure to AI or machine learning concepts through coursework, personal projects, or prior internship work, plus clear curiosity about how AI-powered software is actually built
- Strong written and verbal communication, and the ability to work on-site in Colorado Springs for the duration of the internship
- Authorized to work in the United States without the need for employer-sponsored work authorization now or in the future
Nice To Haves
- Hands-on experience with LLM APIs, RAG pipelines, or agentic frameworks such as LangGraph, AutoGen, CrewAI, or Semantic Kernel; coursework, hackathon, or side-project scale is fine
- Familiarity with Microsoft Visual Studio or Visual Studio Code
- Familiarity with Git source control
- Familiarity with Atlassian tools – Confluence, Jira, Bitbucket
- Coursework in signals and systems, digital signal processing, or communications, or any hands-on exposure to test and measurement instruments such as oscilloscopes, BERTs, or AWGs
- Experience building test automation or evaluation tooling of any kind
- Exposure to data analysis or ML libraries (NumPy, pandas, PyTorch, scikit-learn) or to running models on edge or embedded platforms
- Prior internship, co-op, research, or substantial open-source contribution experience
- Interest in returning for a full-time role after graduation
Responsibilities
- Designing, implementing, testing, and documenting software for a scoped project on the team’s roadmap
- Applying Generative AI and agentic techniques, including prompt engineering, retrieval-augmented generation (RAG), tool and function calling, and multi-step reasoning, under the direction of your mentor
- Writing automated tests and contributing to how we measure AI feature quality: test data sets, regression suites, and evaluation criteria for behavior that is not strictly deterministic
- Learning new development tools and processes, and working in the team’s Git, code review, and CI/CD practices
- Learning how the software in Keysight digital instruments works, and enough of the measurement domain to make sensible engineering decisions
- Participating in team stand-ups, design reviews, and demos, and communicating progress and blockers clearly
- Presenting your project and results to the team and to R&D leadership at the end of the internship
Benefits
- This is a paid, full-time internship of approximately 12 weeks
- Start and end dates are flexible around your academic calendar.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
