R&D Engineer 4, Software

Keysight   is at 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. Learn more  about what we do.   Our 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.

Overview   We are looking for a Technical Marketing   Engineer   who can bridge the gap between our AI engineering teams and the broader R&D organization   by grooming use   case   and enabling them end-to-end. Y ou will be the internal champion of Keysight’s AI productivity tools—crafting compelling narratives, delivering polished live demos to R&D teams and senior executives, creating technical content that accelerates adoption and workflow integration, and building internal excitement that translates into measurable value creation. This is a purely internal, R&D-focused role that requires equal   parts   technical depth and marketing creativity: you need to understand how an AI   tool   works under the hood AND know how to make an audience of engineers lean forward   and adopt the   tools.

Key Responsibilities   Demos & Technical Storytelling   Design and deliver compelling, polished live demonstrations of AI productivity tools to R&D teams, engineering leadership, and senior executives—at internal summits, executive briefings, town halls, and cross-functional reviews.   Build and   maintain   a library of demo environments, scripts, and narratives tailored to different internal audience personas (R&D engineers, engineering   lead s , VPs).   Create high-impact demo videos, tutorials, and interactive walkthroughs that drive internal adoption and excitement across engineering groups.   Translate complex AI/ML capabilities (LLM-powered assistants, ML-driven simulation, predictive analytics) into clear, benefit-driven stories that resonate with technical and executive audiences.   Internal Communications & Technical Content   Own the internal positioning, messaging, and value proposition for Keysight’s AI productivity tools—ensuring consistency across internal communications, executive presentations, and R&D enablement materials.   Develop and execute internal launch strategies for new AI features in partnership with product management, engineering leadership, and R&D teams.   Create technical white papers, internal newsletters, knowledge base articles, solution briefs, and   adoption of   success stories that build momentum for AI tool usage across the organization.   Develop executive-ready materials (briefing decks, ROI narratives, adoption dashboards) that articulate the impact and value of AI productivity initiatives to senior leadership.   R&D Adoption & Workflow Integration   Embed   within R&D engineering teams to deeply understand their workflows, pain points, and adoption barriers—and equip them with training, toolkits, and best practices for AI productivity features.   Collaborate with product management and engineering leadership to influence the product roadmap based on internal user feedback,   adoption and impact   metrics, and   seed   engineering conversations   on use of AI for success.     Serve as the connective tissue between the AI Productivity group and the broader R&D organization—running internal roadshows, lunch-and-learns, and hands-on workshops to accelerate workflow integration.   Define and track   adoption of   KPIs (active users, workflow integration depth, time savings, value created) and report