{"id":2256568,"url":"https://alion.io/job/keysight-rd-ai-software-development-engineer","title":"R&D AI Software Development Engineer","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":90,"open_postings":72,"ghost_share":0,"stale_share":0.181,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":130000,"period":"year","method":"role_country_seniority_unknown","sample_n":318},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Copilot","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Structured Outputs","optional":false},{"name":"C#","optional":true},{"name":"C++","optional":true},{"name":"JavaScript","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LLM","optional":true},{"name":"Semantic Search","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-07-17T07:49:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T15:37:03Z","board_verified":true,"closed_at":null,"days_open":110,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":110},"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.\nAbout the Team\nYou will join a Keysight R&D team developing AI-enabled workflow capabilities for Electronic Design Automation (EDA), High-Speed Digital (HSD), signal integrity, power integrity, and related simulation-driven engineering domains. The team combines product APIs, Python automation, AI/ML techniques, neural-network concepts, and agentic workflows to make advanced design tools easier to use and more productive for engineers.\nResponsibilities\nAs a AI Software Development Engineer, you will contribute to the development of AI-assisted engineering workflows that connect large language models, EDA applications, simulation tools, internal knowledge sources, and product APIs. You will work with senior engineers to build reliable software components, prototype AI-agent capabilities, and support practical automation use cases for design and simulation workflows.\nDevelop Python-based software components, scripts, tests, and APIs that support AI-assisted EDA workflows.\nContribute to MCP-based tool integration, including tool definitions, prompts, resources, and safe invocation patterns under guidance from senior engineers.\nPrototype AI-agent capabilities such as workflow guidance, simulation setup assistance, result summarization, report generation, and design-analysis support.\nApply basic AI/ML and neural-network concepts, including embeddings, retrieval, model evaluation, surrogate-model awareness, and data preparation for engineering use cases.\nParticipate in code reviews, testing, documentation, debugging, and continuous improvement of production software quality.\nQualifications\nTechnical Qualifications\nBachelor’s or master’s degree in computer science, electrical engineering, software engineering, artificial intelligence, applied mathematics, or a related technical field.\nGood programming skills in Python, with an interest in writing clean, maintainable, tested software.\nBasic understanding of AI/ML concepts such as neural networks, embeddings, model evaluation, prompt engineering, retrieval-augmented generation, or structured outputs.\nInterest in AI-agent or copilot-style applications using LLMs, tool calling, workflow automation, and integration with external tools or APIs.\nFamiliarity with software-development practices such as Git, unit testing, code review, Agile teamwork, issue tracking, and technical documentation.\nPreferred Qualifications\nInternship, academic project, thesis, or early professional experience involving AI/ML, LLM applications, automation, engineering software, or scientific computing.\nExposure to EDA, CAD, simulation, high-speed digital design, signal integrity, power integrity, RF/microwave design, photonics, or other engineering domains is a plus.\nFamiliarity with neural-network-based surrogate modeling, design-space exploration, optimization, or simulation acceleration is beneficial but not required.\nExposure to vector databases, semantic search, knowledge graphs, agent frameworks, or cloud-based development environments is an advantage.\nExperience with C++, C#, TypeScript, JavaScript, or desktop/web application integration is a plus.\nSoft Skills & Collaboration\nCurious, eager to learn, and comfortable working in a fast-evolving AI and engineering software environment.\nAble to communicate clearly with senior engineers, product stakeholders, and domain experts.\nStrong problem-solving mindset, attention to detail, and willingness to iterate based on feedback.\nCollaborative team player who can contribute to multi-site and multi-disciplinary R&D projects.\nCareers Privacy Statement ***Keysight is an Equal Opportunity Employer.***\nAs a AI Software Development Engineer, you will contribute to the development of AI-assisted engineering workflows that connect large language models, EDA applications, simulation tools, internal knowledge sources, and product APIs. You will work with senior engineers to build reliable software components, prototype AI-agent capabilities, and support practical automation use cases for design and simulation workflows.\nDevelop Python-based software components, scripts, tests, and APIs that support AI-assisted EDA workflows.\nContribute to MCP-based tool integration, including tool definitions, prompts, resources, and safe invocation patterns under guidance from senior engineers.\nPrototype AI-agent capabilities such as workflow guidance, simulation setup assistance, result summarization, report generation, and design-analysis support.\nApply basic AI/ML and neural-network concepts, including embeddings, retrieval, model evaluation, surrogate-model awareness, and data preparation for engineering use cases.\nParticipate in code reviews, testing, documentation, debugging, and continuous improvement of production software quality.\nTechnical Qualifications\nBachelor’s or master’s degree in computer science, electrical engineering, software engineering, artificial intelligence, applied mathematics, or a related technical field.\nGood programming skills in Python, with an interest in writing clean, maintainable, tested software.\nBasic understanding of AI/ML concepts such as neural networks, embeddings, model evaluation, prompt engineering, retrieval-augmented generation, or structured outputs.\nInterest in AI-agent or copilot-style applications using LLMs, tool calling, workflow automation, and integration with external tools or APIs.\nFamiliarity with software-development practices such as Git, unit testing, code review, Agile teamwork, issue tracking, and technical documentation.\nPreferred Qualifications\nInternship, academic project, thesis, or early professional experience involving AI/ML, LLM applications, automation, engineering software, or scientific computing.\nExposure to EDA, CAD, simulation, high-speed digital design, signal integrity, power integrity, RF/microwave design, photonics, or other engineering domains is a plus.\nFamiliarity with neural-network-based surrogate modeling, design-space exploration, optimization, or simulation acceleration is beneficial but not required.\nExposure to vector databases, semantic search, knowledge graphs, agent frameworks, or cloud-based development environments is an advantage.\nExperience with C++, C#, TypeScript, JavaScript, or desktop/web application integration is a plus.\nSoft Skills & Collaboration\nCurious, eager to learn, and comfortable working in a fast-evolving AI and engineering software environment.\nAble to communicate clearly with senior engineers, product stakeholders, and domain experts.\nStrong problem-solving mindset, attention to detail, and willingness to iterate based on feedback.\nCollaborative team player who can contribute to multi-site and multi-disciplinary R&D projects.\nCareers Privacy Statement ***Keysight is an Equal Opportunity 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