Software Engineering Intern (AI Solutions)

We need to output HTML fragment with headings for sections present: Overview (maybe not needed as heading? The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Overview is not listed; but we could treat it as part of description? Probably we can include Overview as a

before sections. The job title already shown, so we don't repeat. We need sections: About the role? There's "About The Job" and "About The Team". Could combine? Probably we make sections: About the role (maybe from Overview and About The Job). Responsibilities (list). Qualifications (list). Desired Qualifications could be under Skills? Or separate Skills section. Pay: we have salary range. Schedule: we have duration and on-site requirement. Benefits: not mentioned besides paid internship. Could include Benefits? Not specified. So we omit Benefits if no specifics. Pay: we have min-max. Schedule: we have 12 weeks full-time, on-site, flexible dates. We must not include boilerplate like EEO, visa sponsorship note? Visa sponsorship is not available - that's substantive? It's a condition; maybe include in a short p under Qualifications? But instruction: remove EEO/equal-opportunity/scam-warning boilerplate. Visa sponsorship note is not exactly EEO; it's a condition. Could include as a note in Qualifications or a separate p. Safer to include as a short p under Qualifications? Might be considered metadata. I'd include a short p after Qualifications: "Visa sponsorship is not available for this position." We must not repeat job title. No markdown. Let's craft:

About the role

Overview text... plus About The Job and About The Team combined.

Then Responsibilities

• ... each bullet from responsibilities list. Then Qualifications
  • ... each bullet from qualifications list. Then Skills
    • ... each bullet from desired qualifications. Then Pay

      ... salary range. Then Schedule

      ... duration, on-site, flexible dates. We must ensure we preserve all substantive info. Let's extract. Overview paragraph: "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." 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." Combine into About the role paragraph. Responsibilities list: from the second Responsibilities heading: - 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 list: - 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 Desired Qualifications list: - 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 Pay: "This is a paid, full-time internship of approximately 12 weeks, based on-site at Keysight’s Colorado Springs, Colorado facility. On-site presence is required for access to instrument hardware and measurement lab facilities. Start and end dates are flexible around your academic calendar. MIN $30.34 - MAX $32.68 Based on experience, education and skills, most offers will be between the minimum and the midpoint of the Salary Range listed. Visa Sponsorship is not available for this position. Note: For other locations, pay ranges will vary by region." We need Pay section: include the salary range. Also maybe mention it's paid. We'll put Pay

      with the salary range and note that it's paid. Schedule: duration 12 weeks full-time, on-site, flexible dates. We could combine Pay and Schedule? But instruction: prefer few substantive sections. We'll keep both. We must not include boilerplate like Careers Privacy Statement, EEO, etc. Remove. Now produce HTML fragment. Let's craft:

      About the role

      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. 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. 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 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

      Skills

      • 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