Senior Full-Stack Software Engineer - AI

Overview

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.

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.

We are seeking a Senior Full‑Stack Software Engineer – AI Applications to design and build end‑to‑end AI‑enabled applications, from user experience to backend services. This role focuses on application architecture, usability, security, and workflow orchestration, enabling users to leverage AI capabilities that integrate with Keysight hardware, software, and services. This is a product‑focused software engineering role centered on building scalable, production‑ready AI applications and components.

• Design and implement end‑to‑end AI‑based applications, including frontend user interfaces and backend services
• Build applications that integrate AI workflows with Keysight hardware, software, and services, including design software, calibration software, emulation tools, and cloud platforms
• Design, implement, and maintain backend APIs and services that orchestrate AI workflows and system integrations
• Collaborate closely with AI/ML engineers, product managers, and domain experts across multiple business units
• Translate complex technical capabilities into usable, scalable, and production‑ready application experiences
• Ensure high standards for usability, reliability, performance, and maintainability
• Contribute to application‑level architecture decisions and help define UX and workflow patterns for AI‑enabled products

• Design and implement end‑to‑end AI‑based applications, including frontend user interfaces and backend services
• Build applications that integrate AI workflows with Keysight hardware, software, and services, including design and calibration software, emulation tools, and AI platforms
• Develop intuitive user experiences for AI workflows such as data management, model training and fine‑tuning, inference, optimization, and explainability
• Design, implement, and maintain backend APIs and services that orchestrate AI workflows and system integrations
• Build and maintain CI/CD pipelines to support reliable development, testing, and deployment of AI‑based applications
• Ensure applications follow secure software development practices (e.g., secure SDLC / SSDF), including authentication, authorization, and proper use of encryption for data in transit and at rest
• Collaborate closely with AI/ML, AI platform, domain, and product teams across multiple business units
• Translate complex technical capabilities into usable, scalable, and production‑ready application experiences
• Ensure high standards for usability, reliability, performance, and maintainability
• Contribute to application‑level architecture decisions and help define patterns for scalable AI experiences
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of experience building production‑grade full‑stack applications
• Strong experience with modern frontend frameworks (React preferred) and designing user interfaces for technical users
• Backend development experience using Python and/or Node.js, including building scalable services
• Experience designing and consuming RESTful APIs and service‑oriented architectures
• Experience building data‑driven applications that ingest, process, and visualize complex data
• Experience with CI/CD practices to support build, test, and deployment of production software applications
• Experience applying secure software development practices (e.g., secure SDLC / SSDF), including authentication, authorization, and encryption
• Strong software engineering fundamentals, including data structures, debugging, testing, and…