Software Engineering Intern (AI Solutions)
Keysight Technologies
- Location
- Colorado Springs, Colorado
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- Salary
- $30/hr
- H-1B history
- 26 approvals (FY2023)
- Posted
- 2h ago
Skills
About this role
Overview
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
Looking for a challenging position in software development? Come join Keysight for a summer internship in Colorado Springs and help us build AI-powered features into the digital measurement instruments engineers depend on. You'll learn how to apply your engineering coursework and knowledge in software development to solve real-world problems.
About the Job
You will be part of an Agile software development team and will work on the design, implementation, and testing of AI-powered software features for Keysight digital instruments, including sampling and realtime oscilloscopes, BERTs, and AWGs. You will be assigned a self-contained project at the start of your internship, chosen from the team’s active work so that it delivers something the team keeps using after you leave. Projects span the range of what the team builds: applying AI and machine learning models to measurement problems, building agentic and LLM-based features, and creating the test and evaluation tooling those features need. This internship is a deliberate pipeline into our full-time R&D Engineer openings.
About the Team
We are not a research group: everything we build is aimed at shipping into products engineers depend on, working alongside the product teams that own those roadmaps. The team has a mix of new and experienced developers with a broad range of skills, and is eager to help you succeed. You will be paired with a mentor on the team and will report to the engineering manager, with regular guidance from the Solutions Architect.
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 Qualifications 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