{"id":2256288,"url":"https://alion.io/job/keysight-rd-software-engineer-ai-developer-tooling-intern","title":"R&D Software Engineer (AI Developer Tooling), Intern","company":{"id":53596,"name":"Keysight","domain":"keysight.com","url":"https://alion.io/company/keysight","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"A","score":86,"open_postings":116,"ghost_share":0,"stale_share":0.353,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Colorado Springs, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bitbucket","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"CrewAI","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rust","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Azure","optional":true},{"name":"LangChain","optional":true}],"status":"closed","first_seen_at":"2026-09-22T21:14:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-12T21:03:05Z","board_verified":false,"closed_at":"2026-10-12T21:03:05Z","days_open":19,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":19},"description":"OverviewKeysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.\nOur award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.\nResponsibilities\nJob Description\nLooking for a challenging position in software development? Come join Keysight for a summer internship in Colorado Springs and help us build the AI tooling our own engineers use to design and ship measurement software. You'll learn how to apply your engineering coursework and knowledge in software development to solve real-world problems.\nAbout the Job\nYou will be part of an Agile software development team and will work on the design, implementation, and testing of internal tooling that helps Keysight R&D engineers develop software faster and better with AI. 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 this side of the team builds: MCP servers and agent workflows for engineering tasks, AI assistance integrated into our IDEs and CI/CD pipelines, prompt and context management for internal tools, evaluation of AI-assisted development output, and the measurement that tells us whether any of it made the team faster. This internship is a deliberate pipeline into our full-time R&D Engineer openings.\nAbout the Team\nWe are not a research group: everything we build is aimed at getting used. Your users are the engineers sitting around you and on neighboring teams, which makes this a different kind of software job than most internships - you will spend real time finding out what people actually need, and then getting them to adopt what you built. 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.\nResponsibilities\nDesigning, implementing, testing, and documenting software for a scoped project on the team's roadmap\nApplying 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\nBuilding integrations between AI systems and the tools our engineers already use, including IDEs, source control, CI/CD, and issue tracking\nGathering requirements from the engineers who will use your tooling, and adjusting your design once they start using it\nWriting automated tests and contributing to how we measure AI quality: test data sets, regression suites, and evaluation criteria for behavior that is not strictly deterministic\nMeasuring adoption and impact, so we can tell the difference between tooling that is interesting and tooling that is useful\nLearning new development tools and processes, and working in the team's Git, code review, and CI/CD practices\nDocumenting and demonstrating your tooling to other engineering teams\nParticipating in team stand-ups, design reviews, and demos, and communicating progress and blockers clearly\nPresenting your project and results to the team and to R&D leadership at the end of the internship\nQualifications\nBasic Qualifications\nPursuing 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)\nExperience with software development, source control, and testing\nExperience 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\nExposure 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\nStrong written and verbal communication, and the ability to work on-site in Colorado Springs for the duration of the internship\nAuthorized to work in the United States without the need for employer-sponsored work authorization now or in the future\nDesired Qualifications\nHands-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\nExperience building tools, scripts, or automation that other people ended up using\nExposure to DevOps or CI/CD systems such as GitHub Actions, Jenkins, or Azure DevOps\nExperience building or consuming APIs and integrations between systems\nAny exposure to AI coding assistants, IDE extensions, or the Model Context Protocol (MCP)\nFamiliarity with Microsoft Visual Studio or Visual Studio Code\nFamiliarity with Git source control\nFamiliarity with Atlassian tools - Confluence, Jira, Bitbucket\nExperience building test automation or evaluation tooling of any kind\nInterest in developer experience, platform engineering, or internal tooling as a career direction\nPrior internship, co-op, research, or substantial open-source contribution experience\nInterest in returning for a full-time role after graduation\nThis 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.\nMIN $30.34 - MAX $32.68\nBased on experience, education and skills, most offers will be between the minimum and the midpoint of the Salary Range listed.\nVisa Sponsorship is not available for this position.\nCareers Privacy Statement ***Keysight is an Equal Opportunity Employer.***\nJob Description\nLooking for a challenging position in software development? Come join Keysight for a summer internship in Colorado Springs and help us build the AI tooling our own engineers use to design and ship measurement software. You'll learn how to apply your engineering coursework and knowledge in software development to solve real-world problems.\nAbout the Job\nYou will be part of an Agile software development team and will work on the design, implementation, and testing of internal tooling that helps Keysight R&D engineers develop software faster and better with AI. 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 this side of the team builds: MCP servers and agent workflows for engineering tasks, AI assistance integrated into our IDEs and CI/CD pipelines, prompt and context management for internal tools, evaluation of AI-assisted development output, and the measurement that tells us whether any of it made the team faster. This internship is a deliberate pipeline into our full-time R&D Engineer openings.\nAbout the Team\nWe are not a research group: everything we build is aimed at getting used. Your users are the engineers sitting around you and on neighboring teams, which makes this a different kind of software job than most internships - you will spend real time finding out what people actually need, and then getting them to adopt what you built. 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.\nResponsibilities\nDesigning, implementing, testing, and documenting software for a scoped project on the team's roadmap\nApplying 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\nBuilding integrations between AI systems and the tools our engineers already use, including IDEs, source control, CI/CD, and issue tracking\nGathering requirements from the engineers who will use your tooling, and adjusting your design once they start using it\nWriting automated tests and contributing to how we measure AI quality: test data sets, regression suites, and evaluation criteria for behavior that is not strictly deterministic\nMeasuring adoption and impact, so we can tell the difference between tooling that is interesting and tooling that is useful\nLearning new development tools and processes, and working in the team's Git, code review, and CI/CD practices\nDocumenting and demonstrating your tooling to other engineering teams\nParticipating in team stand-ups, design reviews, and demos, and communicating progress and blockers clearly\nPresenting your project and results to the team and to R&D leadership at the end of the internship\nBasic Qualifications\nPursuing 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)\nExperience with software development, source control, and testing\nExperience 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\nExposure 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\nStrong written and verbal communication, and the ability to work on-site in Colorado Springs for the duration of the internship\nAuthorized to work in the United States without the need for employer-sponsored work authorization now or in the future\nDesired Qualifications\nHands-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\nExperience building tools, scripts, or automation that other people ended up using\nExposure to DevOps or CI/CD systems such as GitHub Actions, Jenkins, or Azure DevOps\nExperience building or consuming APIs and integrations between systems\nAny exposure to AI coding assistants, IDE extensions, or the Model Context Protocol (MCP)\nFamiliarity with Microsoft Visual Studio or Visual Studio Code\nFamiliarity with Git source control\nFamiliarity with Atlassian tools - Confluence, Jira, Bitbucket\nExperience building test automation or evaluation tooling of any kind\nInterest in developer experience, platform engineering, or internal tooling as a career direction\nPrior internship, co-op, research, or substantial open-source contribution experience\nInterest in returning for a full-time role after graduation\nThis 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. 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